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 To upload

your profile
and proceed further, kindly share the following details on [email protected] :
• Updated Resume
• PAN Number
• Date of Birth (DD/MM/YYYY)
• Current CTC
• Expected CTC
• Notice Period / Last Working Day (LWD)
• Current Location
• Preferred Location Please share the above details at the earliest, as interview slots are limited and only relevant, immediate joiners will be considered.

📌 Data Engineer (India)
🏢 Mindtel
📍 India