Data Platform Modernization Engineer - Junior (Databricks)
NTT Ltd.Match Score
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Job Description
Structured overview of role & requirementsAbout This Role
Migrate legacy ETL workloads from Informatica PowerCenter and AWS Glue to Databricks Lakehouse by developing scalable data pipelines.
Develop and maintain batch and incremental data processing pipelines using PySpark, Python, Spark SQL, Delta Lake following project architecture and coding standards.
Perform unit testing, source-to-target data reconciliation, troubleshoot data/pipeline issues, and support deployment and production stabilization activities.
Minimum Requirements
3–6 years of experience in data engineering, ETL development, or application/data platform development.
Hands-on experience with Databricks, Apache Spark, Python/PySpark, and SQL.
Experience with ETL technologies such as Informatica PowerCenter or AWS Glue and working with relational databases.
Bachelor's degree in Computer Science, Information Technology, Engineering or equivalent experience.
Ideal Candidate Profile
Experienced in migrating enterprise ETL workloads to cloud data platforms with a focus on Databricks and Delta Lake.
Familiarity with Bronze, Silver, Gold layered data architecture and established development frameworks for logging, auditing, and error handling.
Comfortable working under guidance from senior developers and technical leads in structured team environments.