• Data Engineer Jobs in United States Of America

  • United States Of America, Usa
  • Save Job
  • 3 - 6 Years
  • Posted : above 1 month

Job Description:

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


Create 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

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 (eg 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 eg 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

Minimum Experience Level

Report to
Manager - NP

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Construction/Cement/Metal/Steel/Iron, Manufacturing/Industrial
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 11th Mar 2020

Key Skills:

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