Senior Data Engineer - Contract

November 1

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Logo of Tech Holding

Tech Holding

Management • nodeJS • ReactJS • Machine Learning • Artificial Intelligence

51 - 200

Description

• About us: Working at Tech Holding isn't just a job, it's an opportunity to be a part of something bigger. We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients. Our founders and team members have industry experience and have held senior positions in a wide variety of companies – from emerging startups to large Fortune 50 firms – and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability. • The Role: As a Senior Data Engineer, you will be pivotal in shaping data-driven strategies that enhance the experiences we offer our members. Your insights will support business growth, inform product decisions, and drive efficiencies across our e-commerce subscription platform. You will collaborate closely with various teams, including Marketing, Product, Merchandising, Engineering, and Finance, to provide actionable data insights that influence decision-making and future roadmaps. This role focuses on leveraging advanced analytics and statistical techniques to support personalization, acquisition, retention, and growth strategies. • Responsibilities: Responsible for developing and supporting data pipelines that support and enable the overall strategy of expanded data programs, services, process optimization, and advanced business intelligence. Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid). Lead data discovery sessions with business teams, comprising product owners, data analysts, and cross-team technologists to understand enterprise data requirements of analytics projects. Ensure proper testing and monitoring are in place to provide trusted and reliable data from the data stack. Partner with business domain experts, system analysts, data/application architects, and development teams to ensure data design is aligned with business strategy and direction. Identify and document standard methodologies, standards, and architecture guidelines. Dive deep, as required, to assist Business Intelligence Engineers through technical hurdles impacting delivery. Participating in a shared on-call rotation monitoring the health of the team’s systems.

Requirements

• 3+ years of data architecture related experience such as data analysis, data modeling, and data integration. • 5+ years of Experience in custom ETL design, implementation, and maintenance • Advanced Knowledge of programming languages (e.g. Python and Object Oriented Programming) • Hands-on experience with SQL database design • Experience working on Cloud Platforms (AWS or Google) • Experience working on CI/CD processes and source control tools such as GitHub and GitLab • Experience working with relational databases (Snowflake, Redshift) • Strong knowledge of orchestration tools (AirFlow Preferred), file storage systems(AWS S3, Google Cloud Storage), partitioning, and real-time processing of data • Strong knowledge and experience with Agile/Scrum methodology and iterative practices in a service delivery lifecycle • Excellent communication and interpersonal skills with a demonstrated ability to influence a large organization • Bachelor’s or Master’s Degree in Computer Science, Information Systems, or related field

Benefits

• Flexible Work Hours • Competitive Salaries • Professional Development Opportunities

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