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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and maintain robust ETL/ELT pipelines on Azure cloud or on-premises for batch and real-time data processing.
Ensure data processing adheres to quality, security, compliance guidelines, policies, and standards.
Collaborate with business, technology, operations, and various data & analytics teams for solution development.
Minimum Requirements
3-5+ years of relevant experience in Big Data engineering.
Bachelor’s degree in computer science, information technology, or equivalent.
Proficiency in SQL, Python/Scala, NoSQL databases (HBase, Cosmos DB), and ETL pipeline development.
Experience with Big Data frameworks (Apache Spark, Hadoop, Hive) and Azure cloud platforms (Azure Data Factory, Eventhub, Azure Functions, Synapse, Databricks).
Ideal Candidate Profile
Experienced individual contributor comfortable working under senior guidance in a global technology center environment.
Skilled in engineering scalable data solutions with strong expertise in Azure cloud and Big Data tools.
Collaborative with cross-functional teams across business, technology, operations, and data & analytics capabilities.