Genpact

Sr. Data Engineer - Data Engineering 4B

In short

Senior Data Engineer role at Genpact, building scalable ETL/ELT pipelines and enterprise data solutions on Databricks with PySpark, Spark SQL, and Delta Lake. Requires strong Python/SQL skills, cloud experience (preferably Azure) with orchestration tools like ADF or Airflow, and knowledge of data modeling, warehousing, Git, and CI/CD. Hybrid role based in Noida, India, requiring advanced (C1) English proficiency.

Sr. Data Engineer
Job Description
Data Engineering.
•Mandatory hands-on experience in Databricks (PySpark, Spark SQL, Delta Lake).
•Strong programming skills in Python and SQL.
•Experience building scalable ETL/ELT pipelines and data engineering solutions.
•Hands-on experience with Azure/AWS/GCP, preferably Azure, and orchestration tools (ADF/Airflow).
•Strong understanding of data modeling, data warehousing, and performance optimization.
•Experience with Git, CI/CD, and DevOps best practices.
•Knowledge of Delta Live Tables, Unity Catalog, and Structured Streaming is preferred.
•Ability to collaborate with business and cross-functional teams to deliver enterprise data solutions.
•Excellent analytical, problem-solving, and communication skills.
Qualifications
Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics, Masters - Data Science
Certifications
Databricks Certified Data Engineer Professional - Databricks Academy
Required Skills
Databricks Platform, PySpark
Language
English — Advanced (C1)
Job Type
Regular
Master Skill List
Data Engineering
Remote Type
Hybrid
Work Shift
Day Job (India)

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