DATA ENGINEER + BI

Job Description

Role Overview

We are looking for an experienced Data Engineer + BI qualified with strong hands-on expertise in data engineering, cloud data platforms, Python, SQL, ETL, Big Data, and Business Intelligence. The ideal candidate will have 7+ years of experience in Data Engineering and Development, with robust experience building scalable data pipelines, working with AWS data services, developing data solutions using Python and PySpark, and delivering business insights through up-to-date BI and visualization platforms.

Key Responsibilities

Design, develop, and maintain scalable data engineering and data processing solutions.

Build and optimize robust ETL/ELT pipelines using AWS Glue and other relevant data engineering tools.

Develop data processing solutions using Python and PySpark.

Work with AWS cloud services to build and maintain reliable, scalable data solutions.

Develop and maintain data pipelines integrating multiple data sources and systems.

Design and optimize SQL/RDBMS solutions, including PostgreSQL.





Work with Snowflake and DBT for data transformation, modeling, and analytics.

Develop and maintain data models and analytics-ready datasets.

Build dashboards, reports, and data visualizations using Tableau, Qlik, or similar BI platforms.

Collaborate with business and technical stakeholders to understand data requirements and deliver effective analytics solutions.

Follow data engineering, data quality, performance, and development best practices.

Must-Have Technical Skills

Data Engineering & Development

7+ years of hands-on experience in Data Engineering and Development.

Strong experience designing and developing scalable data pipelines and data processing solutions.

Strong understanding of data engineering concepts, ETL/ELT processes, data transformation, and data modeling.

SQL / RDBMS

5+ years of experience with SQL/RDBMS.

Strong hands-on experience with PostgreSQL.

Ability to write and optimize complex

📌 Data Engineer + Bi Hyderabad
🏢 Niha Technologies
📍 Hyderabad