lnformatica ETL Developer

apartmentRCG Global Services placeMakati calendar_month 

Job Description

Shift: Night Shift

Employment Type: Contract

Job Summary

We are looking for a skilled ETL Developer / Data Engineer with strong expertise in Informatica, Databricks, Python/PySpark, and Azure Data Factory (ADF) to support enterprise data integration and modernization initiatives. The ideal candidate will have hands-on experience migrating legacy Informatica workflows to Databricks and building scalable, high-performance data pipelines.

Key Responsibilities
  • Design, develop, and maintain ETL pipelines using Informatica, Azure Data Factory (ADF), and Databricks.
  • Migrate legacy ETL workflows from Informatica to Databricks using Python and PySpark.
  • Re-engineer ETL processes into optimized Spark-based transformations.
  • Develop and optimize complex SQL queries, data models, and transformations.
  • Schedule, monitor, and troubleshoot jobs using AutoSys.
  • Integrate data from multiple sources including SQL Server, DB2, Mainframe systems, files (CSV, XML, JSON), and Kafka.
  • Perform data validation, reconciliation, and quality assurance activities.
  • Support AI/ML-driven data initiatives, including data preparation and feature engineering.
  • Collaborate with offshore and onshore teams to support development and production activities.
Required Skills
  • Strong experience in Informatica ETL Development.
  • Proven experience migrating Informatica workflows to Databricks.
  • Hands-on experience with Databricks and Azure Data Factory (ADF).
  • Strong programming skills in Python and PySpark.
  • Advanced SQL development and optimization skills.
  • Experience with AutoSys job scheduling.
  • Experience working with DB2, Mainframe systems, and Kafka.
  • Strong understanding of ETL modernization, Spark optimization, and data engineering best practices.
Preferred Skills
  • Experience with AI/ML concepts and data pipelines.
  • Databricks ML, MLflow, and notebook experience.
  • Knowledge of Pandas, Scikit-learn, and predictive analytics.
  • Exposure to GenAI/LLM integrations.
  • Experience with Azure Data Lake/Lakehouse architecture.
  • Familiarity with CI/CD and DevOps practices.
Qualifications
  • Experience working within the Azure cloud ecosystem.
  • Exposure to batch and streaming data processing.
  • Excellent communication and stakeholder management skills.
  • Ability to work independently in a fast-paced environment.
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