27 Sep
Trupti Solutions - India
Secunderabad
We are seeking Senior Data Engineers with 8–12 years of experience to join our client's team in Jersey City. This is a hybrid role that requires both strong technical expertise in cloud-based data engineering and the ability to collaborate closely with cross-functional teams on-site.
*Work Authorisation: Green Card holders or valid H1B preferred*
Overview
The Senior Data Engineer will be responsible for designing, building, and maintaining large-scale cloud-native data platforms. The role demands hands-on experience with AWS services, Spark, PySpark, Snowflake, and SQL, along with strong knowledge of ETL/ELT practices.
Experience Required: 8–12 Years
Location: Jersey City, NJ (Hybrid)
Key Responsibilities
- Architect, design,
and maintain scalable data pipelines and ETL processes.
- Work with AWS services (Glue, Lambda, Athena, S3, etc.) to integrate and transform data.
- Implement data models in Snowflake and ensure high performance through optimized SQL.
- Collaborate with business stakeholders, QA, and product teams to translate requirements into engineering solutions.
- Manage code deployments, reviews, and best practices in a hybrid working model.
- Ensure data quality, governance, and security compliance across platforms.
Requirements
- 8–12 years of proven experience in Data Engineering.
- Strong expertise in AWS cloud ecosystem, including Glue, Lambda, and Athena.
- Hands-on experience with PySpark, Spark, SQL, and Snowflake.
- Proficiency in building and optimising large-scale ETL/ELT pipelines.
- Excellent problem-solving, communication, and collaboration skills.
Nice to Have
- Familiarity with DevOps practices (CI/CD for data pipelines).
- Experience with real-time streaming data platforms (Kafka, Kinesis, etc.).
- Knowledge of data governance frameworks and regulatory compliance.
- Previous experience working in hybrid teams across geographies.
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