• 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 :- 23rd Jul 2025

• Lead construction, maintenance, & optimization of data pipelines.
• Drive Automation through effective metadata management, using innovative and modern tools, techniques, and architectures to improve productivity.
• Lead renovation of the data management infrastructure to drive automation in data integration and management.
• Collaborate with multiple Analytics Center of Excellence teams and EIM team in refining their data requirements for various DnA initiatives and data consumption requirements.
• Identify gaps in new data initiatives and how to address new data requirements.
• Transfer knowledge of data and/or domain understanding in addressing new data requirements.
• Propose appropriate (and innovative) data ingestion, preparation, integration and operationalization techniques to optimize data requirements.
• Work with data governance teams to ensure data scientists and consumers use corresponding data responsibly through data governance and compliance initiatives.
• Design and implement data quality monitoring systems, which includes source-to-target data validations as well as anomaly detection

Requirements:
- Minimum 7 years of work experience in data management disciplines, including data integration, modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.
- Minimum 7 years of hands-on experience designing and implementing production grade data warehousing solutions on large scale databases such as SQL Server, Oracle or DB2
- 5+ years data pipeline development experience with Informatica PowerCenter
- 3+ years of experience with advanced analytics tools for Object-oriented/object function scripting using languages such as R, Python, Java, C++, Scala, others
- 3+ years of experience with Shell/Perl Scripting
- 5+ years of experience with popular database programming languages including SQL, PL/SQL (required), others for relational databases and certifications on upcoming NoSQL/Hadoop oriented databases (preferred) like MongoDB, Cassandra, others for nonrelational databases.
- Minimum 2 years designing and implementing a fully operational production grade large scale data solution on Snowflake Data Warehouse.

Preferred skills:
• Hands on experience with Palantir Foundry + AiP
• Preferred experience in working with data science teams in refining and optimizing data science and machine learning models and algorithms
• Full Lifecycle Data Warehouse, Data Mart Development experience is a big plus.
• Agile Software development methodologies
• Preferred experience with any automation tool such as AutoSys, Cntl-M