Data Engineer

Key Skills

Apache Cassandra, Apache Hadoop, Apache Kafka, Azure, Big Data Technology, Continuous Integration & Continuous Delivery - CI/CD, Data Analytics, Data Modeling, Data pipelines, Data science techniques, Data Warehousing, Databricks, Effective communication skills, HDFS, Java Programming, Jupyter Notebook, Lambda, Machine learning techniques, PLSQL, Python Programming, RESTful, Scala Programming, Shell Scripting language, SPARK Programming, SQL, Streaming APIs, Unix Operating system

Job Description

• The Rockstar Analytics team provide insights and actionable results to a wide variety of stakeholders across the organization in support of their decision making.
• We are currently adding team members to multiple verticals including; Machine Learning and Game Data Pipeline.

RESPONSIBILITIES

• Implement and maintain real-time and batch Data Models.
• Deliver real-time and non-real-time data models to analysts and data scientists who create insights and analytics applications for our stakeholders.
• Implement and support streaming technologies such as Kafka, Spark, Cassandra & AzureML.
• Assist in the development of deployment automation and operational support strategies.
• 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.
• 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.
• Maintain and extend our CI/CD processes and documentation.

QUALIFICATIONS

• 3+ years of work experience with data modeling, business intelligence and machine learning on big data architectures.
• 2+ years of experience with the Hadoop ecosystem (HDFS, Spark, Oozie, Impala, etc.) and big data ecosystems (Kafka, Cassandra, etc.).
• 2+ years of experience with the Azure ecosystem (Azure ML, Azure Data Factory).
• Expert in at least one SQL language such as T-SQL or PL/SQL.
• Experience developing and managing data warehouses on a terabyte or petabyte scale.
• Strong experience in massively parallel processing & columnar databases.
• Experience building Real-Time and/or Near-Real-Time ML pipelines.
• Experience with Python, Scala, or Java.
• Experience with shell scripting.
• Experience working in a Linux environment.

SKILLS

• Deep understanding of advanced data warehousing concepts and track record of applying these concepts on the job.
• Ability to manage numerous projects concurrently and strategically, prioritizing when necessary.
• Good communication skills.
• Dynamic team player.
• A passion for technology.

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Experience with Python based libraries such as Scikit-Learn.
• Experience with Databricks.
• Experience with Spark-ML, Jupyter Notebook, AzureML.
• Experience in Lambda architecture.
• Experience with CI/CD.
• Familiar with Restful APIs.
• Experience with Artifact Repositories.
• Knowledge of the video game industry.

HOW TO APPLY

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.