Lead Data Engineer
Lowe's
Bengaluru
3d ago

Job Summary

The primary purpose of this role is to provide consultation and technical advice on translating business requirements and functional specifications into logical program designs.

This includes facilitating the implementation and maintenance of complex business and enterprise data solutions to ensure successful deployment of released applications.

This role serves as a technical expert for project teams throughout the implementation and maintenance of business and enterprise Data or Platform solutions.

In addition, this role personally develops and delivers modules, stable application systems, and integrated enterprise Data or Platform solutions within various computing environments.

Qualifications

Minimum Qualifications

  • Bachelor's Degree in Engineering, Computer Science, CIS, or related field
  • 7 years of experience in Data, BI or Platform Engineering, Data Warehousing / ETL, or Software Engineering
  • 6 years of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC)
  • Preferred Qualifications

  • Master's Degree in Computer Science, CIS, or related field
  • 6 years of IT experience developing and implementing business systems within an organization
  • 6 years of experience working with defect or incident tracking software
  • 6 years of experience writing technical documentation in a software development environment
  • 4 years of experience working with an IT Infrastructure Library (ITIL) framework
  • 4 years of experience leading teams, with or without direct reports
  • 6 years of experience working with source code control systems
  • Experience working with Continuous Integration / Continuous Deployment tools
  • 6 years of experience in systems analysis, including defining technical requirements and performing high level design for complex solutions
  • Data Engineering

  • 4 years of experience in Hadoop or any Cloud Bigdata components (specific to the Data Engineering role)
  • 2 years of experience playing a lead role in projects (specific to the Data Engineering role)
  • Expertise in Java / Scala / Python, SQL, Scripting, Teradata, Hadoop (Sqoop, Hive, Pig, Map Reduce), Spark (Spark Streaming, MLib), Kafka or equivalent Cloud Bigdata components (specific to the Data Engineering role)
  • BI Engineering

  • 3 years of experience in MicroStrategy (specific to the BI Engineering role)
  • 1 year of experience in OLAP on Hadoop or any Cloud BI components (specific to the BI Engineering role)
  • 2 years of playing a lead role in projects (specific to the BI Engineering role)
  • Expertise in MicroStrategy / Power BI / SQL, Scripting, Teradata or equivalent RDBMS, Hadoop (OLAP on Hadoop), BI Architecting, Dashboard development, Mobile development (specific to the BI Engineering role)
  • Platform Engineering

  • 4 years of experience in Hadoop, NO-SQL, RDBMS or any Cloud Bigdata components, Teradata, MicroStrategy (specific to the Platform Engineering role)
  • Expertise in Java / Scala / Python, SQL, Scripting, Teradata, MicroStrategy, Oracle, MySql, SQL Server, Hadoop (Sqoop, Hive, Pig, Map Reduce), Spark (Spark Streaming, MLib), Kafka or equivalent Cloud Bigdata components (specific to the Platform Engineering role)
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