Data Engineer at Novelis (Atlanta, GA)

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

Responsibilities

• Creat

  e data ingestion pipeline and processes based on jointly defined requirements

• Profile and analyze data to identify gaps and potential data quality issues; works with business SMEs to resolve these issues

• Identifies relationships between disparate data sources

• Uses Python, R, Informatica, and other Big Data tools and technologies to code the data Engineering routines

• Designs and develops the Data Engineering routines for feature extraction, feature generation and feature engineering

• Works with the group of data scientists and business SMEs to get the requirements and present the details in data

• 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

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

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

• 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

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  Qualifications

  • 3+ years of experience in data engineering and Data Lake using any Hadoop ecosystem

  • Bachelors Degree in Computer Science, Engineering, and/or background in Mathematic and Statistics; Masters or other advanced degree a plus

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

  • 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. PowerBI, Tableau, 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

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