Senior Data Engineer

Agile Ventures

Gurugram District

Sur place

INR 1 800 000 - 3 200 000

Plein temps

Il y a 7 jours
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Résumé du poste

Agile Ventures in Gurugram is seeking a Data Software Engineer with 5 to 12 years of experience to design and optimize data pipelines using Spark, Hadoop, and related technologies.

You will work with Python, SQL, and NoSQL databases, implement ETL processes, and tune Spark performance while collaborating with cross-functional teams.

This on-site role offers exposure to cloud data services (AWS/Azure) and opportunities to scale large-scale data platforms in a dynamic environment.

Qualifications

  • Strong experience in Big Data & Data Engineering.
  • Expert-level knowledge of Apache Spark.
  • Hands-on programming experience with Python.
  • Experience with Hadoop, HDFS, MapReduce, Sqoop.
  • Experience with Spark Streaming / Apache Storm.
  • Good knowledge of Hive / Impala.
  • Strong SQL skills joins, stored procedures, relational schemas.
  • Experience with ETL and data integration.
  • Knowledge of NoSQL databases – HBase, Cassandra, MongoDB.
  • Experience in Spark performance tuning.
  • Exposure to AWS or Azure data services.

Connaissances

Python
SQL
ETL
Data integration
NoSQL databases

Outils

Apache Spark
Hadoop
HDFS
MapReduce
Sqoop
Spark Streaming
Apache Storm
Hive
Impala
AWS data services
Azure data services

Description du poste

Role: Data Software Engineer
Experience: 5 to 12 Years

Location: Gurugram
Interview Date: 10th October 2026
Interview Mode: Face-to-FaceAddress: 1st Floor, Block 2, DLF Downtown, Commercial Site, Block - V, DLF City, Phase - I, Sector 25A, Gurugram, Haryana 122002

Key Skills Required:

  • Strong experience in Big Data & Data Engineering
  • Expert-level knowledge of Apache Spark
  • Hands-on programming experience with Python
  • Experience with Hadoop, HDFS, MapReduce, Sqoop
  • Experience with Spark Streaming / Apache Storm
  • Good knowledge of Hive / Impala
  • Strong SQL skills joins, stored procedures, relational schemas
  • Experience with ETL and data integration
  • Knowledge of NoSQL databases – HBase, Cassandra, MongoDB
  • Experience in Spark performance tuning
  • Exposure to AWS or Azure data services
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