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
Qualifications:
- 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
Nice to have Skills:
- Experience working with reporting tools such as Tableau
- Experience with event streaming with modern event streaming toolings like Kafka or Kinesis.
- Experience with subscription service products
- Knowledge of accounting, FP&A, and marketing functions
What we offer:
- Flexible Work Hours
- Competitive Salaries
- Professional Development Opportunities
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