Data Engineer - ETL/Python

Key Responsibilities :

- Design, develop, and maintain robust, scalable, and efficient data pipelines.

- Work with structured and unstructured data to enable analytics and reporting.

- Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver data-driven solutions.

- Optimize and automate ETL processes to ensure high data quality and integrity.

- Develop and manage data models, schemas, and integrations with data warehouses/lakes.

- Implement data governance, security, and compliance best practices.

- Monitor, troubleshoot, and improve performance of data systems.

- Stay updated on emerging trends and technologies in the data engineering space.

Required Skills & Qualifications :

- Bachelors/Masters degree in Computer Science, IT, or related field.

- 7+ years of experience in data engineering roles.

- Strong expertise in SQL, Python, and ETL development.

- Hands-on experience with cloud platforms (AWS, Azure, or GCP).

- Proficiency in big data technologies (Hadoop, Spark, Kafka, etc.).

- Experience with data warehousing solutions (Snowflake, Redshift, BigQuery, etc.).

- Strong understanding of data modeling, data lakes, and data pipelines.

- Familiarity with Docker/Kubernetes for deployment and containerization.

- Excellent problem-solving and analytical skills.

- Strong communication and collaboration abilities.

Good to Have :

- Experience with workflow orchestration tools (Airflow, Luigi, Prefect).

- Knowledge of machine learning pipelines and integration.

- Exposure to NoSQL databases (MongoDB, Cassandra).