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Job Description – Senior Data Engineer

Job Summary

We are seeking a Senior Data Engineer to lead the design and delivery of enterprise-scale data solutions for a leading Insurance client. This role focuses on building robust, scalable data platforms using Azure and Databricks to support advanced analytics, regulatory reporting, and business insights. You will play a key role in architecting modern data ecosystems and guiding teams through data transformation initiatives.

Key Responsibilities

Design and implement scalable, high-performance data pipelines using Azure and Databricks
Lead data engineering efforts across ingestion, transformation, and data serving layers
Collaborate with architects, business stakeholders, and cross-functional teams to define data strategies
Ensure data quality, governance, security, and compliance with insurance industry regulations
Drive modernization of legacy platforms (e.g., DB2, Datastage) to cloud-based architectures
Optimize ETL/ELT processes for performance, scalability, and cost efficiency
Mentor junior engineers and enforce best practices in coding, testing, and deployment
Integrate enterprise and third-party systems using APIs and tools like Mulesoft

Required Skills

Strong hands-on experience with Azure services (ADF, ADLS, Synapse) and Databricks
Expertise in Python, SQL, and Apache Spark for large-scale data processing
Deep understanding of data architecture, data warehousing, and lakehouse concepts
Experience in Insurance or BFSI domain with enterprise data environments
Knowledge of CI/CD pipelines, DevOps practices, and version control systems
Strong problem-solving, analytical, and decision-making skills
Proven ability to lead technical initiatives and mentor team members
Excellent communication and stakeholder management skills

Preferred Qualifications

Experience with Mulesoft, Datastage, and DB2 systems
Understanding of insurance data models, claims, underwriting, and regulatory reporting
Microsoft Certified: Azure Data Engineer Associate (DP-203)
Databricks Certified Data Engineer (Associate or Professional)
Exposure to data governance frameworks and tools

Experience & Education

5–10 years of experience in Data Engineering or related roles
Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field

Work Location

Bangalore or Kochi

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