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7 days ago
We are seeking a highly skilled Senior Data Engineer to lead the design and implementation of our data platforms.
Key Responsibilities- Design and Optimize Data Pipelines:
- Develop ETL/ELT workflows using AWS Glue, Airflow, Databricks, StreamSets, and Snowflake.
- Cloud & Big Data Solutions:
- Architect scalable platforms with AWS (Redshift, Lambda, S3, Athena) and leverage Spark, Kafka, Hive for processing.
- Data Modeling & Governance:
- Create robust schemas, ensure compliance, and enforce security best practices.
- Leadership & Collaboration:
- Mentor junior engineers, work with analysts & data scientists, and act as a technical architect in solution delivery.
- Performance & Security:
- Optimize queries, implement RBAC & IAM, and ensure disaster recovery/high availability standards.
- Tech Stack Expertise:
- Programming: Python (primary), SQL (expert), Java (good-to-have)
- Platforms: AWS (Glue, Redshift, RDS, Lambda, S3), Snowflake, Databricks, Spark, Kafka
- Tools: Airflow, StreamSets, DBT
- Databases: MS SQL Server, MySQL, Hive, HBase
- Strong experience in data modeling, governance, and compliance.
- Proven track record in end-to-end project delivery and enterprise data integration.
A motivated and detail-oriented Senior Data Engineer with excellent problem-solving skills will have opportunities to grow professionally and contribute to the success of our organization.
What We're Looking ForA dedicated and experienced Senior Data Engineer who can help drive business growth through innovative data solutions.
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