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Data Engineer/ETL
Remote · India Full-time Senior Today
About the role
Job Title: ETL/Data Engineer (SQL, Informatica, Databricks)
Location: Remote - India (10 PM - 6 AM)
Required Skills & Qualifications:
- 7+ years of experience in data analysis, data engineering, or related roles
- Strong proficiency in SQL and database concepts
- Hands-on experience with IDMC/Informatica (ETL development and debugging)
- Ability to analyze, interpret, and reverse engineer complex stored procedures, functions, and PySpark-based notebooks
- Ability to analyze and reverse engineer data objects used in Java-based and other UI-driven applications, document root cause analysis (RCA), and implement fixes in backend SQL and Informatica code
- Experience working with Databricks or any Spark-based data processing platform
- Solid understanding of data modelling, especially ER models
- Strong problem-solving and analytical skills
- Excellent communication skills to work with both technical and non-technical stakeholders
Preferred Qualifications:
- Experience working with SAP and within the semiconductor/hi-tech/advanced manufacturing domains
- Familiarity with data lineage and data governance tools
- Knowledge of Python or PySpark
- Experience working in Agile environments
Requirements
- Strong proficiency in SQL and database concepts
- Hands-on experience with IDMC/Informatica (ETL development and debugging)
- Ability to analyze, interpret, and reverse engineer complex stored procedures, functions, and PySpark-based notebooks
- Ability to analyze and reverse engineer data objects used in Java-based and other UI-driven applications, document root cause analysis (RCA), and implement fixes in backend SQL and Informatica code
- Experience working with Databricks or any Spark-based data processing platform
- Solid understanding of data modelling especially ER model
- Strong problem-solving and analytical skills
- Excellent communication skills to work with both technical and non-technical stakeholders
Skills
DatabricksInformaticaJavaPySparkSQLSpark
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