Long applicationsign-up on Oracle
Associate Data Engineer
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Salary
≈ $12k – $28k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Junior
Confirmed on the employer's own hiring board on Oct 31, 2026. First seen by Alion on Oct 30, 2026. Argano scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Argano is a digital transformation consultancy headquartered in Plano, Texas, that helps enterprises improve operations through strategy consulting and the implementation of business applications on Oracle, SAP, Microsoft and Salesforce platforms. Its practices span ERP, human capital management, supply chain planning, enterprise performance management, data and analytics, automation and AI, with delivery teams in the United States, Mexico, Canada and Hyderabad in India. It hires Oracle Cloud ERP and HCM consultants and project managers, SAP IBP and Dynamics 365 specialists, Azure data engineers, QA analysts, client partners and recruiters.
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.
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