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[Remote] Senior Data Engineer with experience in with financial crimes compliance system

Work from home Full-time role Hiring

Note: The job is a remote job and is open to candidates in USA. Genpact is a global professional services and solutions firm delivering outcomes that shape the future. They are seeking a Senior Data Engineer to design, develop, and manage scalable ETL pipelines, optimize data models, and ensure data quality within financial compliance systems.

Responsibilities

  • Experience in financial compliance (KYC/AML etc.)
  • Work with engineering and product teams to design, develop, and manage scalable ETL pipelines to unblock new product launches
  • Create brand new and optimize existing data models and schemas on top of Block data including but not limited to eventing, customer level, and process level data
  • Build monitoring to assess the health of the team’s infrastructure as well as data quality and lineage
  • Participate in on-call rotation, monitor daily execution, diagnose and log issues, and fix business critical pipelines to ensure SLAs are met with internal stakeholders
  • Work with non-technical partners and product teams to understand their needs, translate business requirements into applicable data requirements, and come up with automated end-to-end solutions
  • Standardize business and product metric definitions in curated and optimized datasets, and develop data dictionaries and other related documentation
  • Teach and encourage others to self-serve by building tools that make it simpler and faster for them to do so

Skills

  • B.E/B.TECH/ Any Graduation Equivalent
  • Experience in financial compliance (KYC/AML etc.)
  • Work with engineering and product teams to design, develop, and manage scalable ETL pipelines to unblock new product launches
  • Create brand new and optimize existing data models and schemas on top of Block data including but not limited to eventing, customer level, and process level data
  • Build monitoring to assess the health of the team's infrastructure as well as data quality and lineage
  • Participate in on-call rotation, monitor daily execution, diagnose and log issues, and fix business critical pipelines to ensure SLAs are met with internal stakeholders
  • Work with non-technical partners and product teams to understand their needs, translate business requirements into applicable data requirements, and come up with automated end-to-end solutions
  • Standardize business and product metric definitions in curated and optimized datasets, and develop data dictionaries and other related documentation
  • Teach and encourage others to self-serve by building tools that make it simpler and faster for them to do so
  • Should have experience working on below technology
  • Snowflake
  • Databricks
  • Dbt
  • Github
  • Airflow
  • Prefect
  • Tableau
  • A minimum of 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or equivalent experience
  • High proficiency in SQL
  • Working experience with Python, and Terraform
  • Experience designing medium-to-large data engineering solutions and responsible for the entire lifecycle of projects including scoping, design, development, testing, deployment, and documentation
  • Experience with ETL scheduling technologies with dependency checking, such as Airflow or Prefect, as well as schema design and dimensional data modeling
  • Experience with setting up data quality and data lineage monitoring
  • Experience with financial crimes compliance systems, technologies, and processes is a big plus
  • Experience driving data-driven decisions for AI initiatives / agent building is a big plus

Company Overview

  • Genpact is an information technology firm that offers business management, artificial intelligence, automation, and cloud services. It was founded in 1997, and is headquartered in New York, New York, USA, with a workforce of 10001+ employees. Its website is https://www.genpact.com.

Company H1B Sponsorship

  • Genpact has a track record of offering H1B sponsorships, with 225 in 2025, 257 in 2024, 208 in 2023, 187 in 2022, 413 in 2021, 514 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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