Senior Analytics Engineer

Overview

On Site
Contract - W2
Contract - 12 Month(s)+

Skills

SQL
Python

Job Details

Contact Details:
1.Sandeep Bisane
Email:
Cell:
Job Title: Senior Analytics Engineer
Location: Austin, TX (Hybrid
Duration: 12 Months+
Years of Experience: 8+ Yrs.
Required Hours/Week: 40hrs./Week
Duties and Responsibilities:
  • Architect & Build Data Solutions: Design, develop, and maintain scalable and forward-looking data models using custom Python, DBT, and Airflow solution to obtain the right mix of ETL/ELT pipelines.
  • Own the Data Modeling Layer: Serve as the subject matter expert for our DBT projects, establishing best practices for code, testing, and documentation to ensure data quality and reliability.
  • Drive Business Impact: Partner closely with AI Engineer, business analysts, and program managers to understand their needs and deliver data solutions that directly inform strategy and decision-making.
  • Integrate Diverse Data Sources: Develop processes to extract and integrate data from a variety of sources, including third-party tools, internal/external application databases, and internal/external AI/ML service APIs.
  • Champion Data Governance: Implement and uphold data quality standards, and contribute to data governance policies to ensure our data is accurate, consistent, and trustworthy through tools like Collibra and Datahub .
  • Lead and Mentor: Act as a technical leader and mentor for other team members, leading high-level discussions on technology strategy, architecture, and best practices.
Skills and Experience Required:
  • 8 10 years of experience in data engineering, analytics engineering, or a related software development field.
  • Expert-level proficiency in SQL and experience writing complex, highly-optimized queries.
  • Strong programming skills in Python for data manipulation and automation.
  • Hands-on, production-level experience with dbt (data build tool).
  • Proven ability to translate technical decisions into business impact and articulate complex concepts to cross-functional partners.
  • Experience working effectively in a complex, matrixed organization on cross-functional projects.
  • Excellent communication and collaboration skills, with a results-oriented mindset and a strong sense of ownership.
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