Data Engineer
globallogic
Job Description
Experience: 3+ Years
Required Skills
Highly hands-on, technically strong Data Engineer who can own end-to-end data engineering deliverables. This role is not purely architectural—you are expected to actively code, build, optimize, and troubleshoot data pipelines in a cloud-based ecosystem.
3+ years of hands-on experience in Data Engineering
Strong technical expertise in:
Databricks (Apache Spark, Delta Lake)
Python (PySpark, Pandas)
Snowflake (data warehousing, performance tuning, clustering)
DBT (modeling, testing, documentation)
Advanced SQL (query optimization, joins, window functions)
AWS (S3, Glue, Lambda, IAM, CloudWatch)
Solid understanding of data modeling techniques (Star/Snowflake schema)
Experience designing and implementing scalable ETL/ELT pipelines
Familiarity with version control (Git) and CI/CD practices