Sr. Data Engineer

Position : Sr. Data Engineer

Location : Providence, RI / Remote

Mandatory Skills

Snowflake, Matillion, and DataStage with 3-5 years of experience working in insurance domain

JD

Required Skills

Overall, 12+ years of experience as Technical Data Sr. Analyst with least 3-5 years of experience working in insurance domain.

Excellent understanding and creation of mapping sheets for data integration pipelines.

Proficiency in Snowflake, Matillion, and DataStage for data processing and integration.

Ability to work with Data Architects and Leads to support the design and implementation of data processes.

Deep expertise SQL / data analysis and ensuring data integrity, data security and data quality.

Ability to prepare technical impact analysis or design work based on requirement and business SMEs input

Strong understanding of HIPAA compliance requirements for healthcare data security, privacy, and regulatory standards.

Strong analytical, documentation, and communication skills.

Responsibilities :

As a Technical Data Sr. Analyst, he / she will analyze existing DataStage jobs, work with business SME to create target mapping document as per standard guidelines within healthcare payor domain.

Utilize Snowflake, Matillion, and DataStage for efficient data processing and integration tasks.

Prepare technical impact analysis or design work based on requirement and business SMEs input

Review and validate mapping sheets to align with project requirements and specifications.

Analyze data to extract insights and support decision-making processes.

Document data analysis, and transformation processes.

Collaborate with Data Architects / Data Leads to support the design and implementation of data integration pipelines.

Build and execute ELT processes for transforming and loading data into target systems.

Assist in troubleshooting data related issues and ensuring data quality.

Mentor junior analysts and provide guidance on technical aspects of data analysis.

Stay updated with emerging technologies and industry trends in data analytics and healthcare informatics.