Senior Data Engineer (Cloud & Analytics)
Source: Himalayas
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Experian is seeking a Senior Data Engineer to support cloud-based data pipelines on AWS, focusing on ingestion, transformation, and storage. The role requires hands-on experience with AWS data services and modern data lake formats, offering an opportunity to contribute to global data services and empower informed decision-making.
Job Description
Experian is a global company in data services, helping organizations and consumers manage risk and make informed decisions. We empower individuals and businesses at important life moments, from purchasing a home to expanding customer bases.RequirementsSupport cloud-based data pipelines for ingestion, transformation, and storage.Work with AWS services to help maintain and improve data workflows.Help with data validation, monitoring, and troubleshooting of analytics pipelines.Contribute to data lake solutions used for reporting and analytics.Support reporting and visualization tools used by business partners.Follow best practices for source control, documentation, and team collaboration.Hands-on experience with AWS data services such as Glue, S3, Aurora, or RDS.5+ years of experience working with modern data lake formats like Parquet or Apache IcebergFamiliarity with ETL concepts and data warehousing fundamentalsExperience using source control tools such as BitbucketExposure to reporting or analytics tools such as SSRS or TableauComfort working in Agile or DevOps-style team environments.BenefitsMedical, life and dental insuranceAsociacion SolidaristaInternational Share Save PlanFlex Work/Work from homePaid time offAnnual Performance BonusEducation ReimbursementFamily BondingBereavement LeaveReferral ProgramOriginally posted on Himalayas
Full Description
Experian is a global company in data services, helping organizations and consumers manage risk and make informed decisions. We empower individuals and businesses at important life moments, from purchasing a home to expanding customer bases.RequirementsSupport cloud-based data pipelines for ingestion, transformation, and storage.Work with AWS services to help maintain and improve data workflows.Help with data validation, monitoring, and troubleshooting of analytics pipelines.Contribute to data lake solutions used for reporting and analytics.Support reporting and visualization tools used by business partners.Follow best practices for source control, documentation, and team collaboration.Hands-on experience with AWS data services such as Glue, S3, Aurora, or RDS.5+ years of experience working with modern data lake formats like Parquet or Apache IcebergFamiliarity with ETL concepts and data warehousing fundamentalsExperience using source control tools such as BitbucketExposure to reporting or analytics tools such as SSRS or TableauComfort working in Agile or DevOps-style team environments.BenefitsMedical, life and dental insuranceAsociacion SolidaristaInternational Share Save PlanFlex Work/Work from homePaid time offAnnual Performance BonusEducation ReimbursementFamily BondingBereavement LeaveReferral ProgramOriginally posted on Himalayas