Data Engineer/ETL

Numeric Technologies; India; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A leading tech company in India is seeking an experienced data professional with over 7 years in data analysis or engineering. The ideal candidate should have strong SQL skills, hands-on experience with ETL tools like IDMC/Informatica, and the ability to analyze complex data structures. A background in advanced manufacturing or semiconductor domains is preferred, alongside familiarity with Python or PySpark. This position offers a remote work opportunity with a shift timing of 10 PM to 6 AM.

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 for ETL development and debugging.

Skills

Data analysis

SQL

ETL development

Data modelling

Problem-solving

Communication skills

Tools

IDMC/Informatica

Databricks

Python

Job description

Remote-India (10PM-6AM)

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 model
• 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