Required Skills

Azure functions Azure Data Factory Data Flows Azure Data Lake Azure SQL Azure Synapse Spark Python

Work Authorization

  • US Citizen

  • Green Card

  • EAD (OPT/CPT/GC/H4)

  • H1B Work Permit

Preferred Employment

  • Corp-Corp

  • W2-Permanent

  • W2-Contract

  • Contract to Hire

Employment Type

  • Consulting/Contract

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 16th Aug 2024

JOB DETAIL

Must Have Skills – Lead Azure Data Engineer
Skill 1 – 8 + Years of Exp in Azure Data
Skill 2 – 8 + Years of Exp in Azure functions, Azure Data Factory, Data Flows, Azure Data Lake, Azure SQL, Azure Synapse
Skill 3 – 5 + Years of Exp in PLSQL, Spark, PySpark, Python

Responsibilities:
As a lead data engineer, you will leverage cutting-edge analytics to unlock the potential within our data, guide critical business decisions and propel sustainable growth.

Key activities:
• Design, develop, optimize, and maintain data pipelines, storage, compute components using Azure Services
• Understand the Data Platforms & Services strategy, information architecture and build modern data lake to support Navistar’s data needs.
• Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
• Lead the evaluation, implementation and deployment of emerging tools to modernize data platform
• Partner with analysts and architects to develop technical architectures for data engineering projects

Minimum Requirements
• 6+ years of overall technology experience that includes at least 4+ years of hands-on software development, data engineering, and systems architecture
• Experience deploying modern data solutions leveraging components like Azure functions, Azure Data Factory, Data Flows, Azure Data Lake, Azure SQL, Azure Synapse, Streaming Analytics or equivalent

Desired Skills and Experiences

• Exhibit a thorough understanding of Data Lake architectures, including raw, enriched, and curated layer concepts, and ETL/ELT operations.
• Strong proficiency in PLSQL, Spark, PySpark, Python and Pandas
• Hands on experience in Azure Data Factory, Synapse, ADLS and Event Hub
• Solid experience developing and maintaining data warehouses with Big Data technologies
• Experience in modernizing Hadoop, Teradata on-prem data warehouses would be a plus
• Experience with DevOps tools like Azure DevOps
• Exceptional communication and collaboration skills to understand business partner needs and deliver solutions
• Bias for action, with ability to deliver outstanding results through task prioritization and time management
• Intellectual curiosity to understand and answer questions
• Intellectual humility to leverage the expertise of others
• Exemplary organizational skills with attention to detail & accuracy 

Company Information