Location: Hybrid 4 days work from client office in Gurugram
Job Summary:
Key Responsibilities
- Design and implement ETL/ELT processes for structured and unstructured data
- Work with large-scale data processing frameworks (e.g., Spark, Hadoop)
- Build and optimize data architectures and data models
- Collaborate with data analysts, data scientists, and cross-functional teams
- Ensure data quality, integrity, and security across systems
- Integrate data from multiple sources including APIs, databases, and third-party tools
- Monitor and troubleshoot data workflows and performance issues
- Contribute to system design and architecture discussions
Required Skills & Qualifications
- Strong proficiency in Python
- Experience with data engineering concepts and tools
- Hands-on experience with SQL and relational databases (e.g., PostgreSQL, MySQL)
- Experience with big data technologies like Apache Spark / Hadoop
- Familiarity with workflow orchestration tools (e.g., Airflow)
- Experience with cloud platforms such as AWS / Azure / GCP
- Knowledge of S3, EMR, Glue or similar services (preferred for AWS environments)
- Understanding of REST APIs and data integration techniques
- Robust problem-solving and analytical skills
Preferred Qualifications
- Experience with data warehousing solutions (e.g., Redshift, Snowflake, BigQuery)
- Familiarity with containerization tools like Docker and Kubernetes
- Exposure to CI/CD pipelines
- Knowledge of data governance and security best practices
Soft Skills
- Strong communication and collaboration skills
- Ability to work in a fast-paced, agile environment
- Self-driven with a proactive mindset
📌 Sr. Data Engineer (Bengaluru)
🏢 Ness Digital Engineering
📍 Bengaluru
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