Hybrid Data Engineering Team Lead

at Verisk

• Job title: Data Engineering Team Lead
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: AWS, Cloud, ETL, Linux, Postgres, Python, Shell Scripting
• Location requirements: Hybrid, Hyderabad, India

About the role

• Lead Data Engineer at Verisk Analytics designing and optimizing AWS data platforms. Responsible for mentoring a team and delivering solutions for insurance and financial services clients.

Responsibilities

• Accountable for delivery of data deliveries for top insurance and financial services clients world-wide
• Design, build, and optimize cloud-native data platforms on AWS, including data lakes, data warehouses, and analytics stores.
• Collaborate with BI and analytics platform vendors and internal teams to support production issues, upgrades, and platform enhancements.
• Document data sources on client project and perform gap analysis and identify inflow of bad data into Cloud data warehouse and develop recommendations
• Development of database solutions by designing proposed system; defining database physical structure and functional capabilities, security, back-up, and recovery specifications to internal and external stakeholders
• Work closely with ETL/ELT team for implementing data transformation requirements into the cloud data warehouse.
• Lead, mentor, and coach a team of data engineers, fostering technical excellence and continuous improvement.
• Support onboarding and skill development of team members through guidance, pairing, and code reviews.
• Plan and track delivery commitments, ensuring predictable and high-quality outcomes.
• Partner with product owners, architects, and stakeholders to prioritize work and manage expectations.
• Contribute to hiring by participating in interviews and technical assessments.

Requirements

• 5-8+ years of experience in Python programming, specifically in complex data loading using Python.
• 5-8+ years of hands on (strong) ETL is a must and prior experience in any RDMS experience is a must (Postgres is preferable)
• 2+ years of mandatory hands on experience in AWS cloud technologies, CI/CD(GIT/ BitBucket) and managing data in AWS
• 2+ years of hands-on experience in Snowflake is required.
• Data Mapping expertise, ability to understand business requirements and derive data dictionary and data assets requirement for ETL/ELT and DBA groups.
• Excellent communication skills, both written and verbal and attention to detail.
• Analytical skills is must to understand the requirements and work on the tasks as an individual contributor.
• Ability to collaborate with peers and develop good working relationships.
• Knowledge of data warehousing on the AWS platform is required.
• AWS Certification especially Cloud Practitioner completion is desired.
• Hands on experience with Snowflake will be an asset.
• Hands on experience on Linux shell scripting is preferable.

Benefits

• Professional development and tuition benefits
• Supportive, flexible workplace culture