Required Skills

Building Data pipelines Cloud Platform Data Warehousing

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 :- 19th Apr 2024

JOB DETAIL

• Experienced Data Engineer: We need an experienced data engineer with a proven track record of
driving product success from an engineering perspective. We are looking for someone who has strong
experience in building scalable and reliable data pipelines using Databricks and Spark. You will be
working with various data sources and formats, and transforming them into valuable insights for our
business
• Cultural Fit: Join our collaborative, respectful, and intellectually curious team. We are persistent
problem solvers, communicative, results-driven, and positive—bringing accountability and
ownership to everything we do.
Your Role:
• Holistic Learning: Dive into the intricacies of our platform, mastering its ins and outs.
• Strategic Contributions: Design, develop, and maintain data pipelines using Databricks and
Spark, and other cloud technologies as needed
• Hands-On Contribution: Tackle challenging tasks as a hands-on contributor, ensuring a seamless
transition between various facets of this dynamic role throughout the workday.
• Optimize data pipelines for performance, scalability, and reliability
• Ensure data quality and integrity throughout the data lifecycle
• Collaborate with data scientists, analysts, and other stakeholders to understand and meet their data
needs
• Troubleshoot and resolve data-related issues, and provide root cause analysis and
recommendations
• Document data pipeline specifications, requirements, and enhancements, and communicate them
effectively to the team and management
• Create new data validation methods and data analysis tools, and share best practices and learnings
with the data engineering community
• Implement ETL processes and data warehouse solutions, and ensure compliance with data
governance and security policies
• NY-based (min. 2 days in office each week: Tuesday plus one other day)
 

Company Information