Position: Data Engineer (Scala & Spark)

Experience: 8 to 13 Years

Location: Greater Noida / Pune / Hyderabad

Work Mode: Hybrid (3 Days Work From Office)

- 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 (Maharashtra)
🏢 Mindtel
📍 Maharashtra