Sr Data Engineer

Carelon Global Solutions; Taguig; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

Carelon Global Solutions in the Philippines seeks a data engineer to design, build, and operate scalable data warehouses and ETL pipelines across multiple source systems.

You will translate business questions into data models and reporting solutions, leveraging cloud platforms like Snowflake, Databricks, Redshift, or BigQuery, while ensuring data quality and governance across sources.

Qualifications

• College degree is required.
• 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

• Translate business questions and product requirements into technical specifications and data models.
• Design, build, and support ETL pipelines and data integration across sources.
• Collaborate with analytics teams to deliver reporting and insights.

Skills

SQL

ETL pipelines

Data integration

Data modeling

Data quality

Metadata management

Reporting

Education

College degree

Tools

Snowflake

Databricks

Redshift

BigQuery

Azure Data Factory

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

• College degree is required

• 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.