Build and maintain scalable ETL/ELT pipelines and modern data platforms. Integrate data from databases, APIs, files, and cloud sources; ensure data quality, reliability, and performance; optimize queries, pipelines, and storage; and collaborate with analysts, architects, and stakeholders.
Role Summary:
Looking for a Data Engineer to build and maintain scalable data pipelines and modern data platforms supporting analytics and decision-making.
Experience:
3+ years in Data Engineering / ETL / Data Integration
Key Responsibilities:
Build and maintain ETL/ELT pipelines
Integrate data from multiple sources (DBs, APIs, files, cloud)
Ensure data quality, reliability, and performance
Optimize queries, pipelines, and storage systems
Collaborate with analysts, architects, and stakeholders
Requirements
Requirements (Must Have):
Strong SQL + Python/Scala
Experience with data pipelines & ETL processes
Good understanding of data warehousing & data modelling
Experience handling large datasets
Good to Have:
Exposure to cloud platforms (AWS/Azure/GCP)
Experience with Spark, Kafka, Snowflake/Redshift/BigQuery
Agile environment experience
Skills:
SQL, Python/Scala, ETL, Data Warehousing, Cloud
Qualification:
BE / BTech (CS/IT or related)
Inteliment Pune, Mahārāshtra, IND Office
Aundh, Pune, Maharashtra , India, 411007
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