• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 10th Jan 2024

*  Build and document automated data pipelines from a wide range of data
sources with an emphasis on automation and scale
*  Develop highly available applications and APIs to support near-real-time
integrations using an AWS-based technology stack
*  Ensure product and technical features are delivered to spec and on-time
in a DevOps fashion
*  Contribute to overall architecture, framework, and design patterns to
store and process high data volumes
*  Develop solutions to measure, improve, and monitor data quality based on
business requirements
*  Design and implement reporting and analytics feature in collaboration
with product owners, reporting analysts / data analysts, and business
partners within an Agile / Scrum methodology
*  Proactively support product health by building solutions that are
automated, scalable, and sustainable - be relentlessly focused on minimizing
defects and technical debt
*  Provide post-implementation production support for data pipelines
*  Business Analyst experience good communication skills and has soft skills
to lead the team and be a link between architects, developers, and project
manager.
*  Requires 10% travel

Qualifications
*  Bachelors' degree in Computer Science, Informatics, or a related field
required
*  Masters' degree in Computer Science preferred
*  10+ years of experience in a data engineering role
*  Hands-on experience with ETL tools and techniques (Desirable)
*  Basic proficiency with a dialect of ANSI SQL, APIs, and Python
*  Knowledge of and experience with RDBMS platforms, such as MS SQL Server,
MySQL, NoSQL, Postgres