Data Engineer - Python/SQL/ETL

Key Responsibilities :

- Design, develop, test, and maintain robust data architectures, pipelines, and ETL processes.

- Ensure data quality, integrity, and security across systems and workflows.

- Optimize data systems for performance, scalability, and cost-efficiency.

- Collaborate with cross-functional teams to gather requirements and enable data-driven analytics and insights.

- Monitor, troubleshoot, and resolve issues within data workflows and systems.

- Maintain documentation for data processes, standards, and best practices.

Required Skills & Qualifications :

- Proven experience with data pipeline tools and ETL frameworks (e.g., Apache Airflow, Talend, NiFi).

- Strong proficiency in SQL and experience with relational/non-relational databases (e.g., MySQL, PostgreSQL, MongoDB).

- Hands-on experience with big data tools (e.g., Hadoop, Spark, Kafka).

- Proficiency in Python/Java/Scala for data processing.

- Knowledge of cloud platforms (AWS, Azure, GCP) and their data services.

- Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).

- Strong problem-solving, troubleshooting, and communication skills.

Preferred Skills (Good to Have) :

- Knowledge of machine learning pipelines and integration.

- Exposure to data governance and compliance practices.