Bangalore, Karnataka, India
Information Technology
Full-Time
kevell Corp
Overview
Job Title: Data Engineer
Experience: 6–7 Years
Location: Chennai, Tamil Nadu (Hybrid)
Contact:
Phone: +91 77088 77258
Email: vigneshwaran.m@kevells.com
About the Role:
We are seeking a highly skilled Senior Data Engineer to join our dynamic team in Chennai. This hybrid role offers the opportunity to work with cutting-edge technologies and large-scale data platforms. The ideal candidate will have hands-on experience in Python, PySpark, AWS, and Snowflake, along with a solid understanding of ETL processes, data modeling, and real-time data streaming.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines using PySpark and Python.
- Work with AWS services such as S3, Lambda, Glue, EMR, and Redshift for efficient data processing and storage.
- Build and manage ETL workflows using DBT and orchestration tools like Apache Airflow.
- Design and optimize data models in Snowflake for performance and reliability.
- Write efficient SQL queries to support analytics and reporting needs.
- Integrate data from MongoDB, Kafka, and other NoSQL/streaming platforms.
- Collaborate with data scientists, analysts, and engineering teams to support advanced analytics and ML initiatives.
- Implement data quality, lineage, and governance best practices.
Required Skills & Qualifications:
- 6–7 years of experience in Data Engineering.
- Strong proficiency in Python and PySpark.
- Proven hands-on experience with AWS data services.
- Expertise in SQL and DBT for data transformation.
- Solid experience with Snowflake and modern data warehousing.
- Familiarity with MongoDB, Kafka, and real-time data processing.
- Knowledge of data architecture, data modeling, and governance principles.
- Experience with CI/CD pipelines and DevOps tools is a plus.
- Strong analytical and problem-solving skills.
- Ability to work both independently and in a collaborative team environment.
If you're passionate about working with data and building high-performance data solutions, we'd love to hear from you!
Job Type: Full-time
Schedule:
- Day shift
- Monday to Friday
- Morning shift
- Rotational shift
Work Location: In person
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