Position: Data Engineer (Scala & Spark)

Experience: 8 to 13 Years

Location: Greater Noida / Pune / Hyderabad

Work Mode: Hybrid (3 Days Work From Office)

Job Description
Build and maintain scalable data pipelines for complex Data & Analytics solutions.
Develop Data Lake, Data Warehouse, and Business Intelligence solutions.
Translate business requirements into technical designs.
Ensure high performance, security, and reliability of data applications.
Troubleshoot production issues and resolve defects.
Follow coding best practices and participate in code reviews.
Work on data integration, data storage, and data pipeline development.
Maintain data lineage, metadata, and governance standards.

Required Skills
Mandatory: Scala & Spark (Minimum 3 years hands-on experience)
Microsoft Azure




Cloudera
Hadoop
Hive, HBase
Sqoop, Oozie
Airflow
HDFS
ADLS Gen2
Azure Data Factory (ADF)
Databricks
Kafka
Spark Streaming
SQL
Git/Bitbucket
Azure DevOps

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Please share the above details at the earliest, as interview slots are limited and only relevant, immediate joiners will be considered.

📌 Data Engineer Pune (India)
🏢 MindTelligent
📍 India