
Chief Data Platform Engineer
3 days ago
Job Summary:
We are seeking a skilled Data Architect to design and implement robust data platforms that meet the needs of our organization.
- Key Responsibilities:
- Design and Optimize Data Pipelines: Utilize AWS Glue, Airflow, Databricks, StreamSets, and Snowflake to create scalable and efficient data pipelines.
- Architect Scalable Platforms: Leverage AWS services (Redshift, Lambda, S3, Athena) and Spark, Kafka, Hive for processing, ensuring high availability and disaster recovery standards.
- Mentor and Collaborate: Mentor junior engineers, work with analysts & data scientists, and act as a technical architect in solution delivery.
- Optimize Queries and Security: Implement RBAC & IAM, optimize queries, and ensure compliance with GDPR/HIPAA regulations.
- Requirements:
- Strong Background: ETL, Cloud, Data Warehousing, and Big Data ecosystems.
- Proficiency: Python (primary), SQL (expert), Java (good-to-have).
- Experience: AWS (Glue, Redshift, RDS, Lambda, S3), Snowflake, Databricks, Spark, Kafka.
- Familiarity: Airflow, StreamSets, DBT, MS SQL Server, MySQL, Hive, HBase.
- Proven Track Record: End-to-end project delivery and enterprise data integration.
What We Offer:
A challenging role in a dynamic environment with opportunities for growth and development.
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