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The Hartford's Enterprise Data Organization is looking to unlock Data Capabilities for their Group Benefits business by hiring a Data Engineer to participate in the entire software development lifecycle process in support of continuous data delivery.

Requirements

• At least 2 years' experience in data engineering, big data, analytics and operations concepts: SQL, ETL, performance tuning, production engineering, job scheduling, continuous deployment and operations support
• Experience with ETL tools like Informatica / Informatica Cloud
• Minimal knowledge on programming languages such as Python, Java, Spark; version control tools like GitHub.
• Design, develop, and maintain interactive dashboards and reports using Tableau, ThoughtSpot, and MSBI tools (SSRS, SSIS, SSAS).
• Preferred experience with Cloud technologies such as AWS, Snowflake,
• Preferred experience in PL/SQL and use of databases such as Oracle and SQL Server;
• Experience in Agile development methodologies

Responsibilities

• Hone your development skills using various tools such as Snowflake, Informatica, B2B, PL/SQL, Hadoop, etc. to build data assets that enable business value generation
• Appreciation and opportunity to learn and support rapid software construction and deployment using DevOps and Cloud based future technologies
• Be part of a Scrum Team – driving work independently or collaboratively towards achieving business outcomes
• Design, develop, and maintain interactive dashboards and reports using Tableau, ThoughtSpot, and MSBI tools (SSRS, SSIS, SSAS).
• Collaborate with cross-functional teams to gather business requirements and translate them into technical specifications.
• Analyze large datasets to identify trends, patterns, and opportunities for business improvement.
• Experience with end-to-end Data Warehousing architecture and concepts and ETL best practices

Other

• This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).
• Must be authorized to work in the U.S. without company sponsorship.
• The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
• Strong analytical and problem-solving skills.
• Excellent communication skills and ability to present complex data in a clear, concise manner.