We are seeking a skilled and motivated Data Engineer with 3+ years of experience in database development and data engineering. The ideal candidate will have strong expertise in SQL, Python, and ETL pipeline development, with hands-on experience in data ingestion into cloud data warehouses like Snowflake or Amazon Redshift. This role involves close collaboration with US-based clients, so excellent communication and stakeholder management skills are essential.
Key Responsibilities:
- Design, develop, and maintain scalable ETL pipelines for data integration and transformation.
- Write efficient and optimized SQL queries for data extraction, manipulation, and reporting.
- Develop Python scripts for data processing, automation, and pipeline orchestration.
- Ingest structured and semi-structured data into Snowflake, Redshift, or other cloud data platforms.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Ensure data quality, integrity, and consistency across systems.
- Monitor and troubleshoot data pipelines and workflows.
- Communicate effectively with US-based clients to gather requirements, provide updates, and resolve issues.
Required Skills & Qualifications:
- 3+ years of experience in Data Engineering or Database Development.
- Strong proficiency in SQL for data manipulation and performance tuning.
- Hands-on experience with Python for data engineering tasks.
- Proven experience in building and maintaining ETL pipelines.
- Experience with Snowflake, Amazon Redshift, or similar cloud data warehouses.
- Familiarity with data integration tools and frameworks (e.g., Airflow, DBT, Talend).
- Excellent verbal and written communication skills for client interactions.
- Ability to work independently and manage multiple priorities in a fast-paced environment.
Originally posted on Himalayas
Apply Now