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1 week ago
We are seeking a Senior Data Engineer to lead the end-to-end migration of data warehousing and ETL processes from on-premises/legacy systems to cloud environments. As a key member of our technology consulting team, you will be responsible for designing, developing, and implementing highly efficient, scalable, and reliable ETL/ELT pipelines within the new cloud environment.
- Migrate data platforms from on-premises/legacy systems to cloud environments (preferably AWS, Azure, or GCP).
- Develop best practices for data modeling, CI/CD, and version control (using Git) for the new data platform.
- Collaborate with data architects, analysts, and business stakeholders to understand data requirements and translate them into robust technical solutions.
To be successful in this role, you must have:
- 5–10 years of professional experience in data engineering, data warehousing, or a related field.
- Deep, demonstrable expertise in migrating data platforms from on-premises/legacy systems to cloud environments.
- Mandatory hands-on experience with Teradata for data warehousing and Informatica for ETL development.
- Expert-level proficiency in Snowflake data warehousing, including performance tuning, SnowSQL, and platform administration.
- Strong experience with dbt (data build tool) for data transformation, testing, and documentation.
- Exceptional proficiency in SQL and at least one programming language (Python is strongly preferred).
- Experience with cloud services (e.g., S3, ADLS, Google Cloud Storage) and setting up data ingestion from various sources.
- Excellent analytical, problem-solving, and communication skills.
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