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• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 9th Aug 2023

• Ability to develop, modify and adopt tools and processes to support self-service data pipeline management
• Drive adoption of the these data tools to modernize existing ETL frameworks/processes
• Collaborate with business and technology partners across the organization to assess data needs and prioritize adoption accordingly
• Identify additional strategic opportunities to evolve the data engineering practice
Required Skills:
• 10+ years of experience in data engineering
• Experience building production data pipelines using frameworks using PYTHON, Spark, Hive/Hadoop .
• Hands on experience with schema design and data modeling
• 10+ years of software development in a major language .
• 3 plus years of experience to common Python packages, such as PySpark
• Minimum 3 to 5 years of practical working experience in Relational Databases, preferably Oracle or Oracle Exadata
• Have a software engineering mindset and strive to write maintainable, and testable code
• Strong SQL skills and knowledge of relational databases (Oracle etc) and familiarity with other data stores such as Hadoop, data stores
• Experience with performance tuning data transformations across large data sets
• Exceptional problem solving skills & Excellent communication skills
• Understanding of the Agile methodology

Desired Skills:
• BS/MS in Computer Science, Engineering or other quantitative discipline
• Knowledge of financial concepts
• Knowledge of cloud or distributed computing
• Experience with Airflow
• Experience with BI Platforms such as MicroStrategy or Tableau
• Software development in an Agile environment
• Working experience with Git, Jira, Confluence
• Excellent written and oral communication skills
• Passion for automation and continual process improvement