Data Engineering Leadership Opportunity in Insurance Domain

2 weeks ago

Chennai, Tamil Nadu, India Intelliserve Konsulting Pvt Ltd Full time
Job Description

We are seeking an experienced Data Engineer Manager to lead our data engineering team in the insurance domain. The ideal candidate will have a strong technical background and excellent leadership skills to drive data delivery, integrity, and security.

Key Responsibilities
  • Data Ingestion & Engineering:
    • Create, maintain, and optimize data ingestion pipelines from selected source systems to the data platform.
    • Design, build, and maintain batch or real-time data pipelines in production.
    • Develop ETL/ELT data pipeline processes to extract, transform, and load data from multiple sources.
    • Automate data workflows using various techniques and tools.
    • Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.
  • Team Leadership:
    • Lead a data engineering team responsible for day-to-day data management activities and change projects.
    • Define and orchestrate tasks and deliverables in support of the Project Manager.
    • Take ownership of the team's development, hold members accountable, and mentor and develop team members.
  • Controls & Standards:
    • Collaborate with Data Engineers and Architects to design, build, and manage the Data Platform.
    • Take direct ownership of controls and standards to ensure new data requirements are met using engineering practices.
  • Business Stakeholder Engagement:
    • Set up governance forums with program stakeholders to define and execute against a platform technology roadmap.
    • Engage with multiple stakeholders to ensure optimal data delivery.
  • Technical Oversight:
    • Maintain and optimize the data infrastructure required for accurate extraction, transformation, and loading of data.
    • Monitor data systems performance and implement optimization strategies.
    • Oversee data controls to maintain data privacy, security, compliance, and quality.
    Required Skills and Qualifications
    • Extensive experience in AWS-based data engineering, orchestrating and governing data pipelines, integration, data modeling, and release management.
    • Proven experience in leading Dev Ops sprint teams using Scrum and coordinating development activity.
    • Hands-on experience with AWS tools and services (e.g. S3, EC2, Athena, Redshift, Glue, EMR, Lambda, RDS, Kinesis, Dynamo DB, Quick Sight).
    • Strong experience in workflow management and orchestration tools (e.g. Airflow).
    • Experience in building and deploying solutions to AWS Cloud.
    Technical Skills
    • Proficiency in Python, SQL, Py Spark, Scala, and Shell Scripting.
    • Solid experience with Big Data ecosystems (e.g. Cloudera/Hortonworks, AWS EMR) and data warehousing solutions (e.g. Snowflake).
    • Experience with streaming technologies (e.g. Kinesis, Kafka, Spark Streaming) and distributed computing (e.g. Hive, Hadoop, Presto).
    • Familiarity with CI/CD technologies (e.g. Git, Jenkins, Spinnaker, Ansible).
    • Good understanding of No SQL databases (e.g. Dynamo DB, Redis, Cassandra, Mongo DB, Neo4j).
    Soft Skills
    • Strong people management skills, including mentoring, coaching, collaboration, and team building.
    • Excellent analytical, planning, and organizational skills.
    • Excellent oral and written communication skills, with experience interacting with business and IT individuals at all levels.
    Benefits
    • Competitive salary: ₹25,00,000 - ₹35,00,000 per annum
    • Opportunities for professional growth and development
    • A dynamic and collaborative work environment

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