Job description :

We are seeking an experienced and driven Data Engineer with 5+ years of hands-on experience in building scalable data infrastructure and systems. You will play a key role in designing and developing robust, high-performance ETL pipelines and managing large-scale datasets to support critical business functions. This role requires deep technical expertise, strong problem-solving skills, and the ability to thrive in a fast-paced, evolving environment.

Key Responsibilities :

- Design, develop, and maintain scalable and reliable ETL/ELT pipelines for processing large volumes of data (terabytes and beyond).

- Model and structure data for performance, scalability, and usability.

- Work with cloud infrastructure (preferably Azure) to build and optimize data workflows.

- Leverage distributed computing frameworks like Apache Spark and Hadoop for large-scale data processing.

- Build and manage data lake/lakehouse architectures in alignment with best practices.

- Optimize ETL performance and manage cost-effective data operations.

- Collaborate closely with cross-functional teams including data science, analytics, and software engineering.

- Ensure data quality, integrity, and security across all stages of the data lifecycle.

Required Skills & Qualifications :

- 7 to 10 years of relevant experience in bigdata engineering.





- Advanced proficiency in Python,

- Strong skills in SQL for complex data manipulation and analysis.

- Hands-on experience with Apache Spark, Hadoop, or similar distributed systems.

- Proven track record of handling large-scale datasets (TBs) in production environments.

- Cloud development experience with Azure (preferred), AWS, or GCP.

- Solid understanding of data lake and data lakehouse architectures.

- Expertise in ETL performance tuning and cost optimization techniques.

- Knowledge of data structures, algorithms, and modern software engineering practices.

Soft Skills :

- Solid communication skills with the ability to explain complex technical concepts clearly and concisely.

- Self-starter who learns quickly and takes ownership.

- High attention to detail with a strong sense of data quality and reliability.

- Comfortable working in an agile, fast-changing environment with incomplete requirements.

Preferred Qualifications :

- Experience with tools like Apache Airflow, Azure Data Factory, or similar.

- Familiarity with CI/CD and DevOps in the context of data engineering.

- Knowledge of data governance, cataloging, and access control principles.

Skills : Python,Sql,Aws,Azure, Hadoop

📌 Big Data Engineer - Python (Kolkata)
🏢 Qcentrio
📍 Kolkata