We are looking for a Senior Big Data Engineer with deep expertise in large-scale data processing technologies and frameworks. This is a remote, contract-based position suited for a data engineering expert with robust experience in the Big Data ecosystem including Snowflake (Snowpark), Spark, MapReduce, Hadoop, and more.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines and big data solutions
- Implement data transformations using Spark, Snowflake (Snowpark), Pig, and Sqoop
- Process large data volumes from diverse sources using Hadoop ecosystem tools
- Build end-to-end data workflows for batch and streaming pipelines
- Optimize data storage and retrieval processes in HBase, Hive, and other NoSQL databases
- Collaborate with data scientists and business stakeholders to design robust data infrastructure
- Ensure data integrity, consistency,



and security in line with organizational policies
- Troubleshoot and tune performance for distributed systems and applications

Must Have Skills

- Data Engineering Big Data
- Tools: Snowflake (Snowpark), Spark, MapReduce, Hadoop, Sqoop, Pig, HBase
- Data Ingestion & ETL, Data Pipeline Design, Distributed Computing
- Strong understanding of Big Data architectures & performance tuning
- Hands-on experience with large-scale data storage and query optimization

Nice To Have

- Apache Airflow Oozie experience
- Knowledge of cloud platforms (AWS, Azure, or GCP)
- Proficiency in Python or Scala
- CI/CD and DevOps exposureLocation: Remote | Contract Duration: 6+ Months

📌 Big Data Engineer (Mumbai)
🏢 Suzva Software Technologies
📍 Mumbai