Azure Data Engineer (Senior) with skills Data Engineering, SAS, Oracle ADF, databricks, Azure Datalake, Azure Data Factory, Pyspark for location Bangalore, India
ROLES & RESPONSIBILITIES
Should have good hands-on experience in Base SAS, SAS/Macros and other SAS tools.
Should work with the Data validation team for the SAS output validation
Collaborate with PySpark developers to communicate the existing SAS code’s functionality.
Convert SAS code to PySpark, ensuring all logic is accurately transferred.
Identify and troubleshoot issues that arise during migration.
Proficient in SQL and must worked on complex joins, Subqueries, functions, procedure is a plus
EXPERIENCE
- 6-8 Years
SKILLS
- Primary Skill: Data Engineering
- Sub Skill(s): Data Engineering
- Additional Skill(s): SAS, Oracle ADF, databricks, Azure Datalake, Azure Data Factory, Pyspark
ABOUT THE COMPANY
Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).
Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.