Data Engineer Req#2661
CES has 26+ years of experience in delivering Software Product Development, Quality Engineering, and Digital Transformation Consulting Services to Global SMEs & Large Enterprises. CES has been delivering services to some of the leading Fortune 500 Companies including Automotive, AgTech, Bio Science, EdTech, FinTech, Manufacturing, Online Retailers, and Investment Banks. These are long-term relationships of more than 10 years and are nurtured by not only our commitment to timely delivery of quality services but also due to our investments and innovations in their technology roadmap. As an organization, we are in an exponential growth phase with a consistent focus on continuous improvement, process-oriented culture, and a true partnership mindset with our customers. We are looking for the right qualified and committed individuals to play an exceptional role as well as to support our accelerated growth. You can learn more about us at: http://www.cesltd.com/
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.
- 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
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