Job Overview
JOB DETAILS
REQUIREMENTS
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5+ years of professional analytics or data engineering experience, with at least 2 years in a senior level role.
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Deep expertise in SQL and at least one scripting language such as Python.
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Proven experience designing and building ELT workflows using dbt.
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Strong understanding of cloud-based data warehouse technologies, such as Snowflake or Redshift.
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Experience with cloud platforms such as Azure, AWS, or Google Cloud.
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Proficiency with relational databases like PostgreSQL.
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Familiarity with testing strategies and frameworks for dbt and Python.
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Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders.
RESPONSIBILITIES
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Design, build, and maintain scalable and well-tested dbt models to support analytics and reporting needs.
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Own delivery of features related to in-application reporting.
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Own and optimize data workflows using modern data pipeline orchestration tools.
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Collaborate with cross-functional teams to understand data requirements and deliver high-impact solutions.
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Ensure data quality, lineage, and documentation across the data pipeline.
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Apply rigor to data models through testing.
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