Sr Data Engineer

Carelon Global Solutions Philippines; Taguig; On-site; PHP 800,000 - 1,200,000; Full time

Job summary

Carelon Global Solutions Philippines is seeking a hands-on Data Engineer to design, build, and operate ETL pipelines and data warehousing solutions in a cloud environment. You will transform business questions into scalable data models, collaborate with analytics teams, and ensure data quality and metadata governance.

The role requires strong SQL, experience with Snowflake, Databricks, and other cloud data platforms, and the ability to translate requirements into robust data solutions for

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.

Responsibilities

• Design, build, and support ETL pipelines across multiple source systems.
• Integrate data using APIs, connectors, flat files, and scheduled feeds.
• Collaborate with analytics teams to translate business questions into data models and reporting solutions.

Skills

Data engineering

Data warehousing

SQL

ETL pipelines

Data modeling

Data quality

Metadata management

Requirements translation

Tools

Snowflake

Databricks

Redshift

BigQuery

Azure Data Factory

Adobe Workfront

Jira

Smartsheet

ServiceNow

Job description

• 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.