Data Engineer

Novelis Atlanta , GA 30301

Posted 2 months ago

Role Overview

Novelis is looking for a Data Engineer to join our Global Digital Team. He/she will aid in the optimization of operations by manipulating and aggregating the disparate operational and back office data sources into a format that is easily digestible by both data scientists and statistically adept colleagues. His/her core responsibility will be to combine large volumes of disparate complex data, conduct quality checks on the data, manipulate the data and ensure continuous access to a clean format of the operational data for data scientists and other stakeholders. In addition, he/she will also assist in developing the data pipeline to ensure ongoing data collection, consolidation, and management


  • Builds data tools and products for effort automation and easy data accessibility

  • Supports maintenance, bug fixing and performance analysis along data pipeline

  • Defines extract, transform, and load (ETL) processes based on jointly defined requirements

  • Designs and create batch jobs to combine data sources

  • Designs and jointly develops the data architecture with data architect and ensures security and maintenance

  • Explores suitable options, designs, and creates data pipeline (data lake / data warehouses) for specific analytical solutions

  • Identifies gaps and implements solutions for data security, quality and automation of processes

  • Diagnoses existing architecture and data maturity and identifies gaps

  • Gather requirements, assess gaps and build roadmaps and architectures to help the analytics driven organization achieve its goals

  • Profile and analyze data sources to identify gaps and potential data quality issues

  • Identifies links between disparate data sources

  • 3 years of experience in data engineering and databases/warehouses

  • Bachelor's Degree in Computer Science, Engineering, and/or background in Mathematic and Statistics; Master's or other advanced degree a plus

  • Has used SQL, PL/SQL or T-SQL with RDBMSs like Teradata, MS SQL Server, Oracle etc in production environments

  • Experience with reporting and BI packages e.g. Tableau, QlikView, SAP BO etc.

  • Strong critical thinking and problem solving skills

  • Success at working on cross-functional teams to meet a common goal

  • Self-starter with a high sense of urgency

  • Experience on Big Data platforms (e.g. Hadoop, Map/Reduce, Spark, HBase, CouchDB, Hive) and with programming languages like UNIX shell scripting, Python etc. preferred

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Data Engineer