
Data Engineer Leader
1 week ago
We are seeking a Data Engineer Leader to lead our data engineering team in developing modern data warehouse solutions using Databricks and AWS/Azure Stack.
Key Responsibilities:- Developing and maintaining large-scale data warehouses using Databricks and AWS/Azure Stack
- Leading the design and implementation of ETL pipelines using Apache Kafka, Kinesis, and other tools
- Collaborating with DW/BI leads to understand new ETL pipeline development requirements
- Helping junior team members resolve issues and technical challenges
- Orchestrating data pipelines in scheduler via Airflow
- Bachelor's and/or master's degree in computer science or equivalent experience
- At least 3 years' experience in data warehouse/ETL projects
- Deep understanding of Star and Snowflake dimensional modeling
- Strong knowledge of data management principles
- Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture
- Hands-on experience in SQL, Python, and Spark (PySpark)
- Candidate must have experience in AWS/Azure stack
- Desirable to have ETL with batch and streaming (Kinesis)
- Databricks Certified Data Engineer Associate/Professional Certification (desirable)
- Experience working in Agile methodology
- At least 3 years' experience in Databricks implementations, 2 large-scale data warehouse end-to-end implementation experience
- Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning, and troubleshooting
- Experience working with structured and unstructured data including imaging & geospatial data
- Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT
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