Senior Data Engineer & BI Developer (Hybrid/Remote)
iPostal1
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Job summary
iPostal1, the leading provider of Digital Mailbox technology worldwide, seeks a Senior Data Engineer and BI Developer to join the newly formed data team. Our corporation office is in Montebello, NY.
This hybrid/remote role will utilize advanced SQL and Sigma visualization to deliver insightful data analyses aligned with growth goals. You will design robust ELT pipelines, transform data to meet business needs, and collaborate with stakeholders while keeping data quality and performance at the
Qualifications
- 7+ years of data expertise in ETL/ELT, data warehousing.
- 2+ years with Snowflake; SnowPro cert a plus.
- Advanced SQL with window functions and performance tuning.
- Strong analytical skills and business acumen to validate data.
- Excellent communication and documentation abilities.
- Experience with ETL/ELT tools: FiveTran, Matillion, SSIS or similar.
Responsibilities
- Engineer robust ELT solutions: Design, build, test, and document efficient data pipelines using cutting-edge tools to ensure seamless data integration.
- Satisfy business requirements: Leverage your advanced SQL skills to design and implement robust data transformations that directly address business objectives and drive decision-making.
- Stay ahead of the curve: Eager to explore and embrace new technologies and algorithms to continuously optimize data solutions.
- Deliver results with a user-centric approach: Driven to achieve targets and consistently prioritize user experience in every solution.
Skills
Education
Tools
Job description
iPostal1, the leading provider of Digital Mailbox technology worldwide, seeks a Senior Data Engineer and BI Developer to join the newly formed data team. Our corporation office is in Montebello, NY.
This hybrid/remote role will utilize advanced SQL and Sigma visualization to deliver insightful data analyses aligned with growth goals. You will design robust ELT pipelines, transform data to meet business needs, and collaborate with stakeholders while keeping data quality and performance at the
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