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Sr Data Engineer 13 days ago at Carelon Global Solutions – Pateros | Jobyssey

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Sr Data Engineer 13 days ago

Sr Data Engineer 13 days ago

Carelon Global Solutions · Pateros, Philippines · 2 weeks ago

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Seniority: Senior
Category: Data engineering

api azure azure-data-factory bigquery cloud data-engineering data-modeling data-quality data-warehousing databricks etl jira

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metadata-management

Senior Data Engineer at Carelon Global Solutions (a healthcare services company) based in Pateros, Philippines, who designs, builds, and supports ETL pipelines and cloud data warehouse solutions (e.g., Snowflake, Databricks, Redshift, BigQuery), turning business requirements into data models, integrations, and reporting using advanced SQL.

Strong hands-on experience with cloud data warehouses, relational databases, data architecture, and advanced SQL. Demonstrated experience designing, building, and supporting Extract, Transform, Load (ETL) pipelines across multiple source systems. Experience integrating data using APIs, connectors, flat files, and scheduled data feeds.

Strong experience with data modeling, data transformation, data quality, and metadata management. Experience working with enterprise work management tools such as Adobe Workfront and data warehouse/data engineering platforms, such as Snowflake, or comparable tools. Ability to translate business questions and product requirements into technical specifications, data models, and reporting solutions.

Experience with enterprise work management platforms, such as Adobe Workfront, Jira, Smartsheet, or ServiceNow, and data warehouse/data engineering platforms, such as Snowflake, Databricks, Microsoft Azure Data Factory, Amazon Redshift, or Google BigQuery. Qualifications Strong experience in data engineering, data warehousing, and SQL.

Hands-on experience building and supporting ETL/data integration pipelines. Experience with cloud data platforms such as Snowflake, Databricks, Redshift, or BigQuery. Strong knowledge of data modeling, transformation, and data quality management.

Ability to translate business requirements into scalable data solutions and insights.

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