FactSet
Location
Secunderabad | India
Job description
Design and develop data processing and storage workflows
Collaborate with other engineers to integrate datasets to establish an end-to-end solution
Develop projects using Azure/Lambda functions or Databricks
Build and enhance the Enterprise Data Warehouse using Kimball Methodologies
Excellent planning, organization, and leadership skills to estimate, track, and complete deliverables.
Provide production support with occasional after-hours availability.
Job Responsibilities:
Bachelor s degree, preferably in Computer Science or equivalent professional experience.
2+ years of hands-on experience in designing and implementing data pipelines using Databricks or similar ETL tools (AWS Glue)
2+ years of experience in Advanced SQL programming working with large data sets
Strong hands-on experience in SQL and PySpark
Understanding of Lakehouse architecture using Delta Lake or Iceberg
Understanding of REST APIs Integrations, Key Value data stores and Caching technologies
Understanding of core concepts of distributed databases like Redshift, Snowflake etc
Strong technical, analytical, troubleshooting, and communication skills
Preferred certifications
AWS Certified Database - Specialty
AWS Certified Data Analytics - Specialty
Azure Data Engineer Associate (DP 203)
Databricks Certified Data Engineer Professional
Databricks Certified Associate Developer for Apache Spark 3.0 - Python
Job tags
Salary