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Argano Software

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Associate Data Engineer

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Summary

Entry-level (0-2 years) Associate Data & Analytics Engineer in Hyderabad who writes SQL and Python to build data pipelines in Databricks and Snowflake, develops Power BI dashboards, and uses GenAI/LLM tools to automate data curation, transformation, and insight generation.

JOB DATA
JOB TITLE: Associate Data Engineer
Job Title: Associate Data & Analytics Engineer (Power BI, Databricks, Snowflake & AI)
Experience Level: 0-2 Years
Location: Preferably Hyderabad
Employment Type: Full-Time
Role Overview
We are seeking an Associate Data & Analytics Engineer with a strong foundation in SQL, data modeling, and modern cloud data tools. In this role, you will help design and maintain data pipelines in Databricks and Snowflake , build interactive dashboards in Power BI , and leverage modern AI tools to automate data curation, transformation, and insight generation.
Key Responsibilities
  • Data Transformation & Modeling: Write optimized SQL and Python scripts to ingest, transform, and clean structured and semi-structured data within Snowflake and Databricks .
  • Dashboard & Report Development: Build, maintain, and enhance interactive reports and visualizations in Power BI using DAX, Power Query, and best-practice data modeling.
  • AI Tool Integration & Workflow Automation: Use GenAI tools and LLM APIs to accelerate SQL generation, extract entities from unstructured text, automate data classification, and assist with exploratory data analysis.
  • Data Quality & Validation: Perform data profiling, identify discrepancies, and write validation checks to ensure accuracy across tables, views, and reporting layers.
  • Collaboration & Documentation: Work alongside senior data engineers and analysts to document schemas, data lineage, metric definitions, and dashboard user guides.


Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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