Senior Data Engineer

Verisk

Senior Data Engineer designing and optimizing cloud-native data platforms on AWS for Verisk. Collaborating with teams to deliver scalable data solutions and guiding junior engineers in best practices.

Posted 7/15/2026full-timeHyderabad • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing cloud-native data platforms on AWS, with strong capabilities in ETL processes, data mapping, and database solutions. Proficient in Python programming and Snowflake, with a focus on collaboration and communication to ensure high-quality outcomes.

Highest-signal resume keywords

AWS Cloud TechnologiesETL DevelopmentPython ProgrammingSnowflake ExperienceData Mapping Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETLPythonData WarehousingData MappingDatabase DesignCloud Data WarehouseLinux Shell ScriptingData AnalysisGap AnalysisData Transformation

Soft Skills

Communication SkillsAttention to DetailAnalytical SkillsCollaborationRelationship Development

Tools & Technologies

AWSSnowflakeCI/CDGITBitBucketPostgres

Certifications & Qualifications

AWS CertificationCloud Practitioner

Industry Keywords

Cloud-Native Data PlatformsData LakesData WarehousesAnalytics StoresBI and Analytics

Tech Stack

Tools & technologies

AWSCloudETLLinuxPostgresPythonShell Scripting

About the role

Key responsibilities & impact

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.
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

What you’ll need

3-5 years of experience in Python programming, specifically in complex data loading using Python.
3-5 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

Comp & perks

Short Term Incentive
Work Arrangement: Hybrid