Senior Data Engineer Insurance

Key Responsibilities

• 46 years of relevant work experience.
• Design store process and maintain large-scale data systems and related infrastructure.
• Drive multiple projects from both operational and technical standpoints.
• Ideate and build PoVs/PoCs for new products that can help drive more business.
• Define design and implement data engineering best practices strategies and solutions.
• Act as an architect guiding customers the team and the organization on tools technologies and best practices in data engineering.
• Lead architecture discussions and align them with business needs security and best practices.
• Demonstrate strong conceptual understanding of Data Warehousing ETL Data Governance Security Cloud Computing and Batch & Real-Time Data Processing.
• Apply strong execution knowledge of Data Modeling SQL/NoSQL databases SDLC practices unit testing and functional programming.
• Understand and work with Medallion architecture patterns.
• Work on at least one major cloud platform.
• Execute multiple end-to-end data engineering projects as a data architect.
• Possess extensive knowledge of various data architecture designs and data modeling concepts.
• Manage conversations with client stakeholders understand requirements and translate them into technical outcomes.

Required Skills and Experience

• Strong proficiency in SQL.
• Experience working with any major cloud platform (AWS Azure or GCP).
• Working knowledge of ETL/orchestration tools (IICS Talend Matillion Airflow ADF AWS Glue GCP Composer etc.).
• Working knowledge of OLTP databases (Postgres MySQL SQL Server etc.).
• Working knowledge of Data Warehouses such as Snowflake Redshift Azure Synapse Hive BigQuery etc.
• Proficiency in at least one data engineering programming language such as Python (or Scala/Rust/Java).
• Strong execution knowledge of Data Modeling (star schema snowflake schema fact/dimension tables).
• Proficient in Spark and related platforms (Databricks GCP DataProc AWS Glue EMR etc.).
• Experience working with Kafka and real-time streaming.
• Strong understanding of data architecture patterns (Lambda Kappa data harmonization CDP patterns etc.).
• Experience in code and SQL optimization.
• Strong knowledge of Git and CI/CD pipeline design for continuous delivery.
• Experience with data and networking security (RBAC secret management key vaults VNets/subnets certificates).

Required Experience:

Senior IC