
Advanced Cloud Data Architect
1 week ago
Job Opportunity: Senior Data Engineer
We are seeking an experienced data engineer to lead the design and implementation of complex data pipelines, ensuring efficient data processing and scalability. As a key member of our team, you will be responsible for architecting cloud-based solutions, enforcing data governance and compliance, and collaborating with cross-functional teams.
Key Responsibilities:
- Design & Optimize Data Pipelines: Develop ETL/ELT workflows using AWS Glue, Airflow, Databricks, StreamSets, and Snowflake to ensure seamless data processing.
- Cloud & Big Data Solutions: Design scalable platforms with AWS (Redshift, Lambda, S3, Athena) and leverage Spark, Kafka, Hive for efficient processing.
- Data Modeling & Governance: Create robust schemas, ensure compliance (GDPR/HIPAA), and enforce security best practices.
- Leadership & Collaboration: Mentor junior engineers, collaborate with analysts and 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:
- 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.
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