We are seeking a highly skilled Data Engineer to join our consulting team for a remote engagement with a client headquartered in Boston, MA. The ideal candidate will have extensive experience working with large-scale data pipelines , real-time streaming technologies , and cloud-based big data platforms . This role requires strong expertise Python, data ingestion frameworks , along with hands-on experience in AWS , SQL , and Snowflake .

Title: Data Engineer (Python/AWS/Snowflake)

Location: Krishnarajapuram, Bengaluru, KA - India

Type : Hybrid - 3 days in office

Duration: 6 months Contract-to-Hire

Experience Required: 5–8 years

About the Role

Key Responsibilities

- Design, build, and optimize big data ingestion pipelines to handle large volumes of structured and unstructured data .
- Collaborate with data architects and business stakeholders to define data integration strategies .
- Implement scalable solutions on AWS cloud services and integrate with Snowflake for analytics and reporting.
- Ensure data quality, reliability, and performance across distributed systems.
- Troubleshoot and optimize existing pipelines to improve efficiency and reduce latency.
- Document technical designs,



workflows, and best practices for long-term maintainability.

Required Skills & Qualifications

- 5–8 years of professional experience as a Data Engineer or similar role.
- Strong Python coding and automation experience , built internal Python libraries.
- Proven experience with large-scale data ingestion and processing .
- Strong AWS experience. Preferably AWS based data pipelines using Python
- Proficiency in SQL and experience with Snowflake for data warehousing.
- Experience with use of CI/CD processes from Github, Monitoring and troubleshooting ETL
- Experience with dbt Fivetran (preferably) - other similar tools
- Solid understanding of distributed systems and scalable architectures .
- Strong problem-solving skills and ability to work independently in a remote environment.

Preferred Qualifications

- Experience with performance tuning of big data pipelines.
- Familiarity with CI/CD pipelines and DevOps practices for data engineering.
- Exposure to data governance and security best practices .

We are an Equal Opportunity Employer

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