Data Engineer

Anblicks

United States

United States

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Über

Contribute to full development life cycle, including requirements analysis, functional design, technical design, programming, testing, documentation, implementation, and on-going technical support. Contribute to projects/CRs utilizing Ab-Initio (ETL), Python, Oracle SQL/PLSQL, Snowflake and Cloud Technologies. Ability and willingness to learn newer tools and technologies in cloud-based data analytics/Artificial intelligence arena and successfully deliver projects utilizing the same. Expected to provide sound understanding of application development concepts / principles and a basic knowledge of concepts and principles in other technology areas. Expected to Develop/Modify/Test/Migrate Reports. Expected to clearly articulate development and timeline dependencies. Improve team development related processes that accelerate delivery, drive innovation, lower costs, and improve quality. Required Skills:
ETL: 4+ years of Hands on experiencing in building data pipelines using Apache Spark. Big Data: Hands on experience of working on "Big Data" platforms such as Hadoop, Hive or Snowflake for data storage and processing. Data Warehousing & Database Management: Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design Data Modeling & Design: Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures Languages: Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala DevOps: Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management.
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United States

Sprachkenntnisse

English

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