Role description The Senior Data Engineer will play a key role in designing implementing and optimizing Mission s data infrastructure as part of our modern data platform initiative This hands-on engineering role will focus on building scalable data pipelines enabling a centralized enterprise data warehouse and supporting business reporting needs The ideal candidate will collaborate across technology operations product and analytics teams to create high-quality governed and reusable data assets while supporting a long-term architecture aligned with Mission s growth This role is highly technical and focused on execution and is ideal for a data engineer who thrives in fast-paced environments and is passionate about data quality performance and scalability What You ll Do Design and implement scalable data pipelines to ingest transform and store data from third-party vendors and internal systems using APIs files databases Azure Data Factory and Databricks notebooks Delta Lake workflows Build and maintain a cloud-based data warehouse solution in partnership with architects ensuring clean normalized and performant data models Establish and monitor reliable data ingestion processes across systems with varying grain and cadence ensuring data quality and completeness Collaborate with API and integration teams to develop secure robust data exchange processes with external vendors and internal services Set up and manage data connections from the warehouse to BI tools e g Power BI Looker Tableau to enable self-service analytics and dashboarding Document data flows schemas and definitions and help drive data governance and standardization efforts across the organization Implement data validation cleansing and enrichment processes leveraging SQL Python and Databricks where appropriate to ensure high-quality data for financial reporting and analytics Ensure compliance with data standards regulatory requirements e g NAIC SOX and data security best practices Provide technical leadership in data engineering best practices including version control CI CD for data pipelines testing and observability Build initial dashboards in BI tools Give directions to data engineers to ensure that projects are completed on time and to a high standard Required Qualifications 5 years of experience in data engineering data warehousing or a related field with at least 1-2 years leading implementation projects 3 years of experience in the commercial insurance industry Hands on experience with Azure data services and Azure Databricks ETL ELT development Delta Lake cluster management Strong SQL and performance tuning skills in Microsoft SQL Server environments Experience designing data warehouses or data marts with a focus on dimensional modeling and analytics-ready schemas Fluent in range of data ingestion RESTful APIs JSON XML ingestion flat files message queues CDC patterns and Databricks-based ingestion pipelines Understanding of data governance metadata management and access control Familiarity with version control GitLab and CI CD pipelines for data workflows Experience working with BI tools like Power BI Looker or Tableau including building dashboards or semantic layers Bachelor s degree in Computer Science Engineering Information Systems or equivalent experience Demonstrated ability to translate business needs into scalable data systems and design Preferred Qualification Experience with data cleanup fuzzy matching or AI-driven normalization including use of Databricks and PySpark where applicable Familiarity with Python dbt or Azure Functions is a plus Strong communication skills and ability to work cross-functionally with product engineering and analytics teams Ability to travel up to 10 of the year Knowledge Skills And Abilities Deep understanding of data warehousing principles dimensional modeling and ETL ELT architecture with hands-on experience building analytics-ready structures in Azure SQL SSMS and Databricks Delta Lake Understand core business concepts within the commercial property and casualty insurance industry to guide data modeling and transformation efforts Proficient in developing scalable data pipelines using Azure Data Factory Databricks PySpark SQL workflows and SQL with strong debugging and optimization skills Skilled in integrating with diverse data sources including REST APIs files and third-party systems and handling complex data ingestion across varying levels of granularity Familiar with core Azure services and Azure Databricks and their role in secure cloud-native data engineering workflows Able to connect and model data for downstream BI tools Power BI Tableau Looker supporting self-service reporting and building initial dashboards when needed Strong communicator and collaborator who can translate business needs into technical solutions document data workflows and mentor team members on best practices Skills About RCG Global Services At Myridius we transform the way businesses operate Formerly known as RCG Global Services our more than 50 years of expertise now drive a new vision propelling organizations through the rapidly evolving landscapes of technology and business We offer tailored solutions in AI data analytics digital engineering and cloud innovation addressing the unique challenges each industry faces Our integration of cutting-edge technology with deep domain knowledge enables businesses to seize recent opportunities drive significant growth and maintain a competitive edge in the global market Our commitment is not just to meet expectations but to exceed them ensuring measurable impact and fostering sustainable innovation The success of Myridius is directly tied to the breakthroughs achieved by our clients Together we co-create solutions that not only solve today s challenges but also anticipate future trends At Myridius we go beyond typical service delivery We craft transformative outcomes that help businesses not just adapt but thrive in a world of continuous change Discover how Myridius can elevate your business to new heights of innovation Visit us at www myridius com and start leading the change

📌 Senior Data Engineer (Tamil Nadu)
🏢 RippleHire
📍 Tamil Nadu