
Lead Data Engineering Specialist
1 day ago
We are seeking a skilled Senior Data Engineer to spearhead our data engineering initiatives. The ideal candidate will have a strong background in ETL, Cloud, Data Warehousing, and Big Data ecosystems.
Key Responsibilities:
- Design and optimize data pipelines using AWS Glue, Airflow, Databricks, StreamSets, and Snowflake.
- Architect scalable platforms with AWS (Redshift, Lambda, S3, Athena) and leverage Spark, Kafka, Hive for processing.
- Create robust schemas, ensure compliance (GDPR/HIPAA), and enforce security best practices.
- Mentor junior engineers, work with analysts & data scientists, and act as a technical architect in solution delivery.
- Optimize queries, implement RBAC & IAM, and ensure disaster recovery/high availability standards.
Requirements:
- Tech Stack Expertise: 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.
About This Role
This is an exciting opportunity to join our team and contribute to the development of cutting-edge data engineering solutions. If you are passionate about data engineering and want to make a difference, please submit your application.
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