<div><div>GetMega is one of the first skill based Real Money Gaming platform for the smartphone generation of the world. We are building a platform where players are pitted against each other to compete in various games requiring skills like Reaction, Attention, Spatial and Logic Reasoning, Visual and Auditory Processing etc. We haver games accross various categories including some of the well known cards and casual game. You should definitely checkout our app at www.getmega.com</div><div><br /></div><div>GetMega is founded by two Computer Sciences Undergraduates from IIT Kanpur who have previously run and sold VC funded startup in the logistics domain. We are based out of Bengaluru, India and have raised multi-million dollar funding from Top-Tier Institutional Venture Capitalists to disrupt the multi-billion dollar skill based gaming market around the world.</div><div><br /></div><div><br /></div><div><b>Values of the A-Grade Data Engineer:</b></div><div><br /></div><div><b>Product-Mindset</b> - We believe in a mix of data-led and intuitive/Player Focus Group Discussion (FGD) based product decisions. You will have to work closely with our Players, Data and Design teams to understand their psyche, so we can create a more frictionless experience for Mega players.</div><div><br /></div><div><b>Ownership &amp; Delivery</b> - We work in small cross-functional teams, making a large impact on the products we create from idea to launch.</div><div><br /></div><div><b>Iterate Quickly</b> - We have a bias to build MVPs and collect direct feedback from the users of our software for faster iteration.</div><div><br /></div><div>As the first Data Engineer at Mega, you will have a rare opportunity to shape Mega’s data architecture, infrastructure, development and deployment practices while evangelising a strong data driven culture across all teams. You will be focused on making data accurate, accessible and building scalable systems to access/process it. Another major responsibility is helping AI/ML Engineers write better code. You will also build scalable, high performance data intensive services. We are a fast-growing company with leadership opportunities available to you as the team continues to expand.</div><div><br /></div><div><br /></div><div><b>What should you deeply care about?</b></div><div><b>SQL, GCP/AWS, BIG DATA INFRASTRUCTURE, DATA MODELLING, DATA ARCHITECTURE, QUERY PROCESSING </b></div><div><br /></div></div><div><div><h3>What would you be doing?</h3><ul><ul><li>Create and maintain optimal data pipeline architecture.</li><li>Develop, recommend and implement process and procedure changes to systematically improve data integrity.</li><li>You will work with product managers, engineers and data scientists to experiment and build features driven by data and algorithms</li><li>Assemble large, complex data sets that meet functional / non-functional business requirements.</li><li>Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.</li><li>Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.</li><li>Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.</li><li>Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.</li><li>Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.</li></ul></ul></div></div><div><div><h3>Superpowers you’ll need to be a success in this role?</h3><ul><ul><li>Experience writing high quality, maintainable SQL on large datasets.</li><li>Ability to write code in Python, Ruby, Scala or other platform-related Big data technology.</li><li>Expertise in Star Schema data modelling</li><li>Expertise in the design, creation and management of large datasets/data models.</li><li>Experience working on building /optimizing logical data model and data pipelines while delivering high data quality solutions that are testable and adhere to SLAs</li><li>Experience with AWS or GCP services including Big Query, Cloud Storage S3, Redshift, EMR and RDS</li><li>Experience in Cloud SQL and Cloud Bigtable</li><li>Experience in Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub/Sub and Genomics</li><li>Experience in Google Transfer Appliance, Cloud Storage Transfer Service, BigQuery Data Transfer</li><li>Experience with data processing software (such as Hadoop, Kafka, Spark, Pig, Hive) and with data processing algorithms (MapReduce, Flume)</li></ul></ul></div></div><div><div><h3>What would you get from Mega?</h3><ul><ul><li>The rare opportunity to join one of the hottest Indian startups with multi-million dollar funding. We are not just another gaming studio, but are creating the largest skilling platform in the world</li><li>Above market compensation. We believe to hire the top 100 talent of the country in any field (tech/product/design), we need to be a paymaster</li><li>Obvious sweet perks like daily catered breakfast and lunches, endless coffee, and dry snacks. We believe in enabling our employees by removing trivial tasks like packing breakfast/ordering lunch/going out for coffee etc</li><li>Swanky custom-built office space. It's a fact that any individual spends a major portion of their lives in office. There's no reason to cut corners in providing the best office space ever</li><li>Reimbursements. The company will reimburse any expense made by an employee to reach our goals. Period.</li><li>We are open to giving out any benefits which will further empower our employees to create the Mega which we collectively envision</li></ul></ul></div></div><div><div>GetMega is committed to building a diverse and inclusive company that celebrates and develops individuals of all backgrounds. We are an equal opportunity employer and encourage all applicants. </div></div><div>Apply for this job</div>

<h3><strong>About Us</strong></h3>
<p>Twitch is the world's biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It's where millions of people come together to chat, interact, and make their own entertainment.</p>
<p>We're about community, inside and out. You'll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We're on a quest to empower live communities, so if this sounds good to you, see what we're up to on LinkedIn and Twitter, get interviewing tips on Instagram, and discover projects we're solving on our Blog.</p>
<h3><strong>About the Role</strong></h3>
<p>Reporting to the Head of Global Talent Acquisition, the Data Engineer will expand the reach and role of data among leaders and managers at Twitch. You will empower the business to integrate data into their daily workflow by creating/maintaining data pipelines, producing reporting, and automating our processes.</p>
<p>You can work in San Francisco, CA or remotely across the US.</p>
<p>This role is for you if:</p>
<ul>
<li>You love automating processes and developing efficient scalable solutions</li>
<li>You're excited about contributing to the success, efficiency, and happiness of Twitch staff</li>
<li>You're excited to jump into a diverse array of data work to support the team</li>
<li>You enjoy working with autonomy and shaping a new function</li>
</ul>
<p> </p>
<h3><strong>You Will:</strong></h3>
<ul>
<li>Delight consumers of people-related data by ensuring they have the data they need to inform decisions, where and when they need it</li>
<li>Build and own data pipelines, SQL queries/views, and apps</li>
<li>Automate processes through the use of JavaScript and other languages</li>
<li>Improve business, engineering, and data processes through data architecture, engineering, testing, and operational excellence best practices</li>
<li>Ensure the integrity of People and Places data in analyses and tools through regular audits</li>
<li>Partner to develop analytics products and recommend opportunities</li>
<li>Develop ongoing metrics, analyses, and dashboards to guide important decisions</li>
</ul>
<h3><strong>You Have:</strong></h3>
<ul>
<li>Experience writing SQL and a procedural language (Python, R, etc.) for data handling</li>
<li>Experience owning systems that collect, transform, and visualize data</li>
<li>Experience implementing data analytics, visualization tools and programs for HR working with Workday, Greenhouse, Tableau, Google Workspace, Google Data Studio, and Google Sheets</li>
<li>Experience implementing software solutions to automate data source, visualization and analytics products</li>
<li>Bachelors in related field, or equivalent experience</li>
</ul>
<h3><strong>Bonus Points</strong></h3>
<ul>
<li>Experience handling People-related data including compensation, performance, hiring, and engagement data.</li>
<li>Experience automating Google services (Sheets, Docs, Data Studio) with Javascript</li>
<li>Experience with Workday, Greenhouse, and Tableau</li>
<li>Demonstrated net positive contributor to company community and culture above and beyond the core job</li>
</ul>
<h3><strong>Perks</strong></h3>
<ul>
<li>Medical, Dental, Vision &amp; Disability Insurance</li>
<li>401(k), Maternity &amp; Parental Leave</li>
<li>Flexible PTO</li>
<li>Commuter Benefits</li>
<li>Amazon Employee Discount</li>
<li>Monthly Contribution &amp; Discounts for Wellness Related Activities &amp; Programs (e.g., gym memberships, off-site massages, etc.),</li>
<li>Breakfast, Lunch &amp; Dinner Served Daily</li>
<li>Free Snacks &amp; Beverages</li>
</ul>
<p><em>We are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status, or other legally protected status.</em></p>
<p><em>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</em></p>
<p><em>Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</em></p>
<p><em>The base pay range for this position in Colorado, Connecticut and Washington is $139,860 - $170,940 yr and in New York City is $153,900 - $188,100 yr. Pay is based on market location and may vary depending on job-related knowledge, skills, and experience. A sign-on payment and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via Twitch's internal or external careers site.</em></p>
<p><em>Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.</em></p>
<p><em>Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.</em></p>
<p>Job ID: TW7236</p>
<p>#LI-Remote #RemoteFriendly</p>

<h3><strong>About Us</strong></h3>
<p>Launched in 2011, Twitch is a global community that comes together each day to create multiplayer entertainment: unique, live, unpredictable experiences created by the interactions of millions. We bring the joy of co-op to everything, from casual gaming to world-class esports to anime marathons, music, and art streams. Twitch also hosts TwitchCon, where we bring everyone together to celebrate, learn, and grow their personal interests and passions. We’re always live at Twitch. Stay up to date on all things Twitch on LinkedIn, Twitter and on our Blog.</p>
<h3><strong>About the Role</strong></h3>
<p>Data is central to Twitch's decision-making process, and data engineers operate at the forefront of this by creating datasets that inspires analysis across all of Twitch. You will shape the way that our performance is measured, defining how we transform our data, and scaling analytics methods and tools to support our growing business, leading the way for high-quality, high velocity decisions.</p>
<p>We're looking for an experienced data engineer to join our central analytics team, which is focused on empowering staff throughout Twitch to use and trust our data. Your responsibilities may range from developing and enhancing our data warehouse which act as sources of truth across the company, driving data quality across product departments and teams, building self-service business intelligence infrastructure for analysts, and connecting into data interfaces that allow everyone in Twitch to discover and analyze the data. In the process, you will work with technical and non-technical staff members throughout the company, and will report to the Director of Central Analytics.</p>
<p>This position can also be located in Irvine, CA; Seattle, WA; New York, NY; and Salt Lake City, UT and remote.</p>
<h3><strong>You Will:</strong></h3>
<ul>
<li>Define and own team level data architecture for trusted, governed, dimensionally-modeled repository of data that enables Twitch staff to quickly and reliably answer their questions.</li>
<li>Keep existing data sources fresh against data quality issues, design data quality assurance framework and improve the processes for developing new ones raising the level of quality expected from our work.</li>
<li>Conduct unit, integration, and system tests on our data sources to validate data against source systems, and optimize performance to improve query speed and reduce cost.</li>
<li>Improve search, discovery and literacy: Create exploration and visualization interfaces in our BI tools and promote the use of these sources across the company through training programs.</li>
<li>Improve business and engineering team processes via data architecture, engineering, test, and operational excellence best practices. Make enhancements that improve data processes.</li>
</ul>
<h3><strong>You Have:</strong></h3>
<ul>
<li>3+ years of experience in data engineering, software engineering, or other related roles.</li>
<li>3+ years in relational database concepts with a solid knowledge of star schema, SQL, SQL Tuning, OLAP, Big Data technologies</li>
<li>3+ years of experience maintaining data pipelines from multiple data sources, in collaboration with diverse partners.</li>
<li>Experience with best practices for development including query optimization, version control, code reviews, and documentation.</li>
<li>Experience working with Amazon Webservices, S3, EMR, or Redshift</li>
<li>Experience in coding languages like Python/Java/Scala</li>
<li>Passion for games and the gaming industry is a great bonus!</li>
</ul>
<h3><strong>Perks</strong></h3>
<ul>
<li>Medical, Dental, Vision &amp; Disability Insurance</li>
<li>401(k), Maternity &amp; Parental Leave</li>
<li>Flexible PTO</li>
<li>Amazon Employee Discount</li>
<li>Monthly Contribution &amp; Discounts for Wellness Related Activities &amp; Programs (e.g., gym memberships, off-site massages),</li>
<li>Free Snacks &amp; Beverages</li>
</ul>
<p><em>Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</em></p>
<p><em>The pay range for this position in Colorado is $90,450.-150,750 yr; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. </em>You<em> should apply via Amazon's internal or external careers site.</em></p>
<p><em>We are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</em></p>
<p> </p>

<p>At Rockstar Games, we create world-class entertainment experiences.</p>
<p>A career at Rockstar Games is about being part of a team working on some of the most creatively rewarding and ambitious projects to be found in any entertainment medium. You would be welcomed to a dedicated and inclusive environment where you can learn and collaborate with some of the most talented people in the industry.</p>
<p>Rockstar Games is seeking a Data Engineer to join a team focused on building a cutting-edge game analytics platform and tools to better understand our players and enhance their experience in our games. This is a full-time permanent position based out of Rockstar’s unique game development studios in either New York, NY, Carlsbad, CA, or Andover, MA.</p>
<p>The ideal candidate will be skilled in developing complex ingestion and transformation processes with an emphasis on reliability and performance. In collaboration with other data engineers, database administrators, and developers, the candidate will empower the team of analysts and data scientists to deliver data driven insights and applications to company stakeholders.</p>
<p><strong>WHAT WE DO</strong></p>
<ul>
<li>The Rockstar Analytics team provide insights and actionable results to a wide variety of stakeholders across the organization in support of their decision making.</li>
<li>We work in collaboration with several departments to design and implement stream and batch data pipelines and machine learning applications.</li>
<li>We innovate as a global team to develop cutting-edge data pipelines serving data products, data models, reports, analyses, and machine learning applications.</li>
</ul>
<p><strong>RESPONSIBILITIES</strong></p>
<ul>
<li>Implement and support big data tools and frameworks such as HDFS, YARN, and Impala.</li>
<li>Build and support streaming and data processing frameworks such as Kafka, Spark, Spark-Streaming, Cassandra.</li>
<li>Deliver real time and near-real-time data and applications to provide insights and analytics applications for our stakeholders.</li>
<li>Support the development of deployment automation and operational support strategies.</li>
<li>Assist in the development of a big data platform in Hadoop using pipeline technologies such as Spark, Airflow and more to support a variety of requirements and applications.</li>
<li>Set the standards for warehouse and schema design in massively parallel processing engines such as Hadoop and Snowflake while collaborating with analysts and data scientist in the creation of efficient data models.</li>
<li>Build scalable ML/AI application with production scale.</li>
<li>Develop data monitoring framework to ensure highest data quality.</li>
<li>Maintain and extend our CI/CD processes and documentation.</li>
</ul>
<p><strong>QUALIFICATIONS</strong></p>
<ul>
<li>2+ years of work experience with ETL/ELT, data modeling, business intelligence or Machine Learning on Big Data Platform.</li>
<li>2+ years of experience with the Hadoop ecosystem (HDFS, Spark, Oozie, Impala, etc.) and big data ecosystems (Kafka, Cassandra, etc.).</li>
<li>Knowledge of at least one SQL language such as T-SQL, PL/SQL or SnowSQL.</li>
<li>Experience architecting, developing, and managing data warehouses on a terabyte or petabyte scale.</li>
<li>Solid experience in massively parallel processing &amp; columnar databases (Hive, Impala, Cassandra, MongoDB, Snowflake, Kudu, etc).</li>
<li>Experience working with Real-Time streaming and batch processing and/or machine learning pipelines.</li>
<li>Experience with Python, Java and shell scripting.</li>
<li>Experience working in a Linux environment.</li>
</ul>
<p><strong>SKILLS</strong></p>
<ul>
<li>Deep understanding of advanced data warehousing concepts and track record of applying these concepts on the job.</li>
<li>Ability to manage numerous requests concurrently and strategically, prioritizing when necessary.</li>
<li>Good communication skills.</li>
<li>Dynamic team player.</li>
<li>A passion for technology.</li>
</ul>
<p><strong>PLUSES</strong></p>
<p>Please note that these are desirable skills and are not required to apply for the position.</p>
<ul>
<li>Experience with event processing frameworks or ML Frameworks.</li>
<li>Experience with Spark-ML or AzureML.</li>
<li>Experience in Lambda architecture.</li>
<li>Experience with CI/CD.</li>
<li>Familiar with Restful APIs.</li>
<li>Experience with Artifact Repositories.</li>
<li>Knowledge of the video game industry.</li>
</ul>
<h4><strong>HOW TO APPLY</strong></h4>
<p>Please apply with a resume and cover-letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.</p>
<p>Rockstar is proud to be an equal opportunity employer, and we are committed to hiring, promoting, and compensating employees based on their qualifications and demonstrated ability to perform job responsibilities.</p>
<p>If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, or race.</p>

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