Job Description

ROLES & RESPONSIBILITIES

Qualifications and Skills:

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field. 10+ years of experience in data engineering, with a focus on scalable architecture design Proven track record of designing end-to-end architecture for large-scale data migration initiatives Experience working with Azure cloud platforms, including Azure Databricks, Azure Data Factory, and Blob Storage Familiarity with deployment pipelines, supporting UAT, release planning, and production rollouts.

:

Define end-to-end architecture for SAS to PySparkmigration. Proven experience in data migration projects, specifically migrating from SAS to PySpark. Proficiency in SAS, Spark, and Python programming languages Strong understanding of data integration, ETL, and data warehousing concepts. Familiarity with cloud platforms Azure Support UAT and production deployment planning. Strong communication and collaboration skills


EXPERIENCE


14-16 Years
SKILLS


Primary Skill: Data Engineering
Sub Skill(s): Data Engineering
Additional Skill(s): SAS, ETL, Databricks, Azure Data Factory, Pyspark