Required Skills

Data Engineer

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 :- 12th Jun 2025

JOB DETAIL

  • ETL/ELT Development: Build, maintain, and improve ETL workflows that support data integration from multiple sources, handling various data types and frequencies. This includes event-driven solutions to sequence and automate Azure-centric data pipelines.
  • Data Modeling & Transformation: Collaborate with a Data Management team to design data models that align with business needs and perform data transformations to create usable data sets for analysis, reporting and query efficiency.
  • Pipeline Management: Manage and refine data pipelines, ensuring data is collected, transformed, and stored accurately across all systems. This includes monitoring and troubleshooting pipelines to prevent data loss, downtime and improve efficiency
  • SQL Query Optimization: Write, test, and optimize SQL queries to ensure efficient data retrieval and processing in support of Business Intelligence (BI) Developers/Users and downstream data consumers.
  • Collaboration with Analytics Teams: Work closely with data scientists, analysts, and stakeholders to support data requests, visualization needs, and other analytics functions.
  • Cloud Infrastructure Management: Collaborate with an Azure Cloud Services team to monitor and manage the cloud data platform to maintain performance, scalability and ensure secure data access. Collaborate management of other cloud data platforms (Oracle Cloud, AWS).
  • Data Quality Assurance: Conduct regular quality checks, cleanse data sets, and implement data governance practices to maintain data completeness, accuracy and reliability.
  • Documentation & Reporting: Keep thorough documentation of data processes, configurations, and workflows. Provide regular updates on system performance and data availability to downstream users and program management.
  • Innovation & Continuous Improvement: Stay up to date on industry trends, experiment with new data tools and techniques, and apply best practices to drive continuous improvement.
  • AI/ML Integration: Support AI/ML initiatives to enhance and support data processes, predictive modeling, and drive business value for business units.

Company Information