Data Engineer

Kindly apply if you have Wherescape Red/3D, Informatica or Snowflake experience.

Role: Senior Associate

Tower: Data Analytics & Insights Managed Service

Experience: 6 10 years

Key Skills: Data Engineering, Data Modeling (Data Vault 2.0)

Educational Qualification: Bachelors degree in computer science / IT or relevant field

Work Location: Bangalore, India

Job Description

As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution using Data, Analytics & Engineering capabilities. PwC Professional skills and responsibilities for this management level include but are not limited to:

• Demonstrate critical thinking and the ability to bring order to complex, unstructured data problems.
• Review data engineering deliverables, data models, and transformation logic for quality and accuracy.
• Own status reporting, milestone tracking, and delivery governance for assigned workstreams.
• Adherence to SLAs with experience in incident, change, and problem management within managed services.
• Review own work and that of others for data quality, modeling standards, and architectural alignment.
• Demonstrate sound judgment in selecting appropriate tools and patterns and clearly articulate rationale.
• Seek and embrace opportunities providing exposure to diverse platforms, industries, and delivery models.
• Communicate in a clear, structured manner when influencing stakeholders and team members.
• Build and maintain strong client relationships by adapting communication and leadership style.
• Uphold the firms code of ethics and business conduct.
• Demonstrate leadership by working directly with clients and leading data engineering engagements.
• Work collaboratively in a team environment with cross-functional and cross-competency teams.
• Actively contributes to COE initiatives, accelerators, standards, and best practices.
• Proactively manage risks, escalations, and dependencies across delivery.

Position Requirements

Required Skills

Primary Skills (Mandatory): Data Vault 2.0 (Hubs, Links, Satellites, Business Vault); dbt (core/cloud), WhereScape (RED/3D); Informatica (PowerCenter/IDMC); Cloud Data Warehouse, Advanced SQL, ELT and CDC, Orchestration (Bhoomi), Git and CI/CD for data

Secondary Skills: Teradata, Python, SSIS, ServiceNow, Jira, Healthcare insurance domain knowledge (payer: claims, eligibility, provider, HIPAA)

Required Skills & Experience:

• Minimum 6 years of experience in enterprise data engineering and managed data & analytics programs.
• Lead the design, review, and governance of Data Vault 2.0 architectures, including: (Hubs, Links, Satellites), Business Vault constructs Downstream consumption and semantic layers
• Strong experience in WhereScape and Informatica for data ingestion, transformation, orchestration, and automation.
• Ability to translate business requirements into scalable data models and transformation designs, particularly in the health insurance domain (claims, members, providers, policies).
• Guide teams in implementing best practices for data modeling, historization, auditability, and scalability.
• Provide technical oversight for data pipeline performance, reliability, and data quality.
• Support and influence migration strategy from traditional ETL to dbt and cloud-native ELT architectures.
• Partner with DevOps and platform teams to enable CI/CD, version control, automated testing, and controlled deployments.
• Strong expertise in writing and reviewing complex SQL and transformation logic.
• Experience delivering Managed Data & Analytics services, including SLA-driven support and enhancements.
• Lead requirement discussions with business and technology stakeholders; manage dependencies and delivery risks.
• Effectively communicate project status, risks, and outcomes throughout the delivery lifecycle.
• Strong analytical thinking, problem-solving ability, and stakeholder management skills.

Nice to Have

• Experience with dbt implementation or migration programs.
• Cloud certifications (Azure / AWS / GCP / Snowflake).
• Exposure to data governance, metadata management, lineage, and data quality frameworks.
• Experience working in regulated environments (Health Insurance, Healthcare, HIPAA).
• DevOps or DataOps certifications or hands-on exposure.