- Applicants must be local; no sponsorships available.
Job Summary:
- Design develop and implement large-scale data pipelines using AWS services (Glue Lambda S3 Kinesis Snowflake).
- Build and maintain robust ETL processes to ensure efficient data extraction transformation and loading with high data quality and integrity.
- Design and manage AWS-based data warehousing solutions especially with Redshift for optimized storage querying and analysis.
- Implement and manage scalable data lake solutions using AWS S3 Glue and related services for varied data formats and streaming data.
- Collaborate with data scientists analysts and business stakeholders to understand data requirements and deliver business-aligned data solutions.
- Create and maintain documentation for data infrastructure pipelines and ETL processes for knowledge sharing and compliance.
- Must have at least 2 years of hands-on experience with Python and SQL.
- Applicants must be local; no sponsorships available. Job Summary: - Design develop and implement large-scale data pipelines using AWS services (Glue Lambda S3 Kinesis Snowflake). - Build and maintain robust ETL processes to ensure efficient data extraction transformation and loading with high ...
- Applicants must be local; no sponsorships available.
Job Summary:
- Design develop and implement large-scale data pipelines using AWS services (Glue Lambda S3 Kinesis Snowflake).
- Build and maintain robust ETL processes to ensure efficient data extraction transformation and loading with high data quality and integrity.
- Design and manage AWS-based data warehousing solutions especially with Redshift for optimized storage querying and analysis.
- Implement and manage scalable data lake solutions using AWS S3 Glue and related services for varied data formats and streaming data.
- Collaborate with data scientists analysts and business stakeholders to understand data requirements and deliver business-aligned data solutions.
- Create and maintain documentation for data infrastructure pipelines and ETL processes for knowledge sharing and compliance.
- Must have at least 2 years of hands-on experience with Python and SQL.
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