Job Title : Senior Big Data Engineer (Python)
Experience : 5+ Years
Locations : Chennai, Bangalore, Gurugram
Employment Type : Full-Time
Notice Period : Immediate to 30 Days Preferred
Job Summary
We are seeking an experienced Big Data Engineer with strong expertise in Python to design, build, and manage large-scale data pipelines and analytics solutions. The ideal candidate will have hands-on experience working with Big Data technologies and cloud platforms, and a passion for writing efficient, scalable, and maintainable code.
Key Responsibilities
- Design, develop, and maintain scalable big data pipelines using Python and other data processing tools.
- Work with distributed data processing frameworks like Spark, Hadoop, Hive, or similar.
- Implement ETL processes for structured and unstructured data from various sources.
- Collaborate with data scientists, analysts, and other engineering teams to understand data needs.
- Optimize data workflows and ensure data quality, integrity, and security.
- Deploy solutions on cloud platforms (AWS / GCP / Azure) and automate data workflows.
- Monitor data pipelines, troubleshoot issues, and ensure high availability and performance.
Required Skills & Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.Minimum 5 years of hands-on experience in Big Data engineering roles.Strong proficiency in Python for data processing and scripting.Experience with Apache Spark , Hadoop ecosystem (Hive, HDFS, HBase), Kafka.Solid understanding of data warehousing concepts and data modeling.Hands-on experience with SQL and NoSQL databases.Familiarity with cloud data platforms like AWS (EMR, S3, Glue) , Azure , or Google Cloud .Good understanding of CI / CD, containerization (Docker, Kubernetes), and version control (Git).Preferred Skills (Nice to Have)
Experience with Airflow or other workflow orchestration tools.Knowledge of real-time data processing (e.g., Spark Streaming, Flink).Exposure to data governance, data lineage, and catalog tools.Why Join Us?
Opportunity to work on cutting-edge Big Data solutions with global clients.Collaborative and innovation-driven work culture.Competitive compensation and career growth opportunities.Flexible work environment with hybrid (based on role).