Senior Data Integration Engineer

3 weeks ago


Boston, United States Harbourvest Full time

Job Description SummaryFor over forty years, HarbourVest has been home to a committed team of professionals with an entrepreneurial spirit and a desire to deliver impactful solutions to our clients and investing partners. As our global firm grows, we continue to add individuals who seek a collaborative, open-door culture that values diversity and innovative thinking.In our collegial environment that's marked by low turnover and high energy, you'll be inspired to grow and thrive. Here, you will be encouraged to build on your strengths and acquire new skills and experiences.We are committed to fostering an environment of inclusion that promotes mutual respect among all employees. Understanding and valuing these differences optimizes the potential of both the individual and the firm.HarbourVest is an equal opportunity employer.This position will be a hybrid work arrangement, which translates to 2-3 days minimum per week in the office.We are seeking a Senior Data Integration engineer to join our team, responsible for designing, developing, deploying and maintaining an Operational Data Store (ODS) platform. If you have a solid background in data engineering, experience with cloud technologies, and zeal for building scalable and efficient data pipelines, we want to hear from youThe ideal candidate is someone who is:Data engineering expertise in planning and building robust ODS or data warehousing solutionsConsistently delivers high-quality data solutions through expertise in data modeling, ETL development, and data governanceUnderstands data modeling conceptsAdaptable, creative, and eager to stay informed with emerging cloud applications and data technologiesSkilled problem-solver, handling complex pipelines & root cause analysisEffective communicator & collaborator, working seamlessly with hybrid teamsWhat you will do :Design, develop, and maintain the platform to meet business requirementsBuild and optimize data pipelines to ingest, process, and store large volumes of dataLeverage your strong scripting skills in Python, Bash, and PowerShell to automate data workflowDevelop and maintain documentation of data flows, architecture, and standard processesPartner with multiple team members to form complete end-to end-solutionsStay up-to-date with new technologies and trends in data warehousing engineeringEnsure data quality, integrity, and security across the ODS platformBridge gaps between teams, integrating sources & consumersWhat you bring:Background in cloud computing, specifically with Microsoft AzureStrong expertise in Azure services such as Azure Virtual Machines, Azure Storage, Azure data management etcExperience with data design, data migration, and governanceGood understanding of data architecture and design patternsExcellent problem-solving skills and good communication abilitiesProficiency in programming language like Python, T-SQLProficiency in scripting languages such as PowerShell, Python, or BashDeep expertise in designing, building, and deploying large-scale Azure cloud infrastructuresExperience with extraction methods like ETL tools (SSIS, Data factory, Data bricks etc), API's, CDCExperience leading DevOps practices and tools such as GIT, Azure PipelinesFind innovative ways to use data and related tools to advance collective objectives and build efficienciesCultivate a continuous improvement approachExperience with traditional project management and agile methodologies including Scrum and KanbanEffective leadership and mentoring skills, with experience guiding hybrid teamsEducation PreferredSolid educational background in Computer Science, Engineering, or related fieldExperience5-8 Years of experience in cloud technologies preferred (Senior Associate level)#LIHybrid



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