
Chief Data Architect
5 days ago
We are looking for an experienced Lead Data Engineer to design, develop and maintain ETL/ELT data pipelines using various technologies.
About the Role:
- Data Pipeline Development: Develop and maintain ETL/ELT data pipelines to ingest data from various sources into our data warehouse.
- AWS Services: Utilize AWS services such as AWS Lambda, AWS DMS, and AWS Glue for data ingestion and transformation processes.
- Snowflake Stored Procedures: Develop and optimize Snowflake stored procedures to implement complex business logic and data transformations.
- Apache Airflow: Manage and monitor scheduled data workflows using Apache Airflow.
- Data Quality Checks: Implement and maintain robust data quality checks to ensure accuracy and reliability of all delivered datasets and reports.
Requirements:
- Proven experience as a Data Engineer or in a similar role.
- Strong proficiency in SQL scripting.
- Proficiency in Python for data manipulation and automation.
- Experience with Apache Airflow for workflow orchestration.
- Hands-on experience with AWS Cloud services, including Lambda, DMS, and Glue.
- Solid understanding of data warehousing concepts, with practical experience using Snowflake.
- Excellent problem-solving skills and ability to design and implement solutions based on business requirements.
About Our Ideal Candidate:
- The ideal candidate will have 6-10 years of experience in designing, developing and maintaining ETL/ELT data pipelines.
- They should possess strong proficiency in SQL scripting and Python programming.
- Excellent problem-solving skills and ability to design and implement solutions based on business requirements.
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