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Data Analytics Engineer

IMR Soft LLCMilton, GA🇺🇸United States

Why this role stands out

Accelerate your career as a Data Analytics Engineer at IMR Soft LLC, where you will leverage cutting-edge tools like Snowflake, Python, and DuckDB to build high-impact data pipelines and analytical models. This hybrid role is perfect for a skilled engineer who thrives on solving complex data challenges and enjoys collaborating with stakeholders to deliver actionable insights. Apply today to sharpen your technical expertise and make a significant impact within a forward-thinking team.

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationMilton, GA, United States
FastAPISQLGitSnowflakePandasPythondbtGenerative AIRESTPower BIData AnalysisCI/CDStreamlit

Job description

Position: Data Analytics Engineer
Location: Alpharetta, GA
Duration: 12 Months
The ideal candidate combines strong SQL, Python, and data engineering skills with experience across relational databases, analytical platforms, files, and APIs.
Key Responsibilities
  • Source and integrate data from IBM DB2, Snowflake, files, JSON/REST APIs, and other data sources.
  • Use SQL, Python, and DuckDB to cleanse, join, transform, aggregate, and curate data.
  • Develop reusable datasets, metrics, KPIs, and analytical data models.
  • Prepare data for consumption by Power BI dashboards and Python-based applications using Streamlit, Dash, or similar frameworks.
  • Build repeatable data pipelines with appropriate validation, reconciliation, logging, and error handling.
  • Identify and resolve data-quality and consistency issues across source systems.
  • Rapidly prototype and iterate on data solutions with business and technology stakeholders.
  • Document data sources, transformation logic, business rules, and metric definitions.
Required Skills
  • Strong SQL and relational database development skills.
  • Hands-on experience with IBM DB2, Snowflake, and DuckDB.
  • Proficiency in Python, including data manipulation using pandas or similar libraries.
  • Experience working with CSV, JSON, Parquet, REST APIs, and relational databases.
  • Understanding of data modeling, transformation, data quality, and metric/KPI development.
  • Experience preparing data for Power BI or custom analytical applications.
  • Familiarity with Git and modern software development practices.
  • Experience using GenAI development tools, such as GitHub Copilot, Anthropic Claude, OpenAI Codex, or similar tools, to accelerate development, testing, debugging, and documentation.
Preferred Experience
Experience with several of the following is beneficial:
  • dbt or SQLMesh for data transformations
  • FastAPI for sharing data via APIs
  • Streamlit or Dash for custom data dashboards
  • Power BI
  • CI/CD and automated testing
  • Cloud data and analytics platforms
Qualifications
  • Approximately 3–5 years of relevant experience in data engineering, analytics engineering, BI, or software development.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Analytics, or a related discipline, or equivalent practical experience.
  • Strong communication skills and the ability to work with both technical teams and business stakeholders.
  • Demonstrated ability to deliver quality reporting solutions in a fast-paced, iterative environment.

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