Data Analytics Engineer

Hierarch Soft Technologies, Inc.; Alpharetta (GA); On-site; USD 90,000 - 120,000; Full time

Job summary

Hierarch Soft Technologies, Inc. in Alpharetta, GA seeks a Data Analytics Engineer to build data pipelines, models, and dashboards. The role combines SQL, Python, and data engineering across DB2, Snowflake, and APIs to deliver reusable datasets and KPIs for Power BI and Python apps.

This role emphasizes data quality, validation, and collaboration with business and tech stakeholders, including documenting sources and metrics.

Qualifications

• 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 to accelerate development, testing, debugging, and documentation.

Responsibilities

• Source and integrate data from IBM DB2, Snowflake, CSV/Parquet files, JSON/REST APIs, and other 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 apps.
• Build repeatable data pipelines with validation, reconciliation, logging, and error handling.
• Identify and resolve data-quality and consistency issues across source systems.
• Prototype and iterate on data solutions with business and tech stakeholders.
• Document data sources, transformation logic, business rules, and metric definitions.

Skills

SQL

Python

Data integration

IBM DB2

Snowflake

DuckDB

Power BI

APIs

Data modeling

Pandas

Git

GenAI tools

Tools

IBM DB2

Snowflake

DuckDB

Power BI

Streamlit

Dash

Git

GitHub Copilot

Anthropic Claude

OpenAI Codex

Job description

Position: Data Analytics Engineer

Location: Alpharetta, GA (In-person interview required)

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, CSV/Parquet 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

• 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

Regards

Mark R