• 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 :- 4th Jan 2024

Responsibilities:

• 10 Years Lead exp
• 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