
Chief Data Infrastructure Specialist
6 days ago
We are seeking a highly skilled data engineer to fill a key role in our organization. As a data engineer, you will be responsible for designing and optimizing data pipelines, cloud and big data solutions, data modeling and governance, leadership and collaboration, and performance and security.
Primary Responsibilities:
- Design & 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 (GDPR/HIPAA), 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.
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.
Why This Role Matters:
This role is crucial in driving our organization's data strategy forward. The successful candidate will have the opportunity to make a significant impact on our data infrastructure and help shape the future of our organization.
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