DATA Engineer + BI

Niha Technologies; Hyderabad; Hybrid; INR 1,500,000 - 2,100,000; Full time

Job summary

Niha Technologies is seeking a Data Engineer + BI expert with 7+ years of experience to design scalable data pipelines and BI solutions. You will leverage AWS data services, Python, PySpark, and DBT to deliver analytics-ready datasets and dashboards for business insights.

The role emphasizes building robust ETL/ELT processes, data modeling, and collaboration with stakeholders to translate data requirements into actionable insights across the organization.

Qualifications

• 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.

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.

Skills

Data Engineering

Python

SQL

PySpark

ETL/ELT

AWS

BI Visualization

Snowflake

DBT

PostgreSQL

Big Data

Tools

Git

CI/CD

Terraform

Tableau

Qlik

ThoughtSpot

Job description

DATA ENGINEER + BI

We are looking for an experienced Data Engineer + BI professional 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 strong experience building scalable data pipelines, working with AWS data services, developing data solutions using Python and PySpark, and delivering business insights through modern 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 SQL queries.

Python

• 5+ years of demonstrable hands-on experience with Python.
• Strong Python programming and data processing capabilities.

ETL & Big Data

• Hands-on experience with ETL tools such as AWS Glue.
• Strong experience with Big Data frameworks such as PySpark.
• Experience developing and maintaining scalable data processing pipelines.

AWS Cloud

• At least 3 years of hands-on AWS Cloud experience.
• Experience with AWS Lambda, ECS, Step Functions, API Gateway, RDS, SQS, and DynamoDB.

Business Intelligence & Data Visualization

• Experience with Tableau, Qlik, or similar Data Visualization/BI tools.
• ThoughtSpot experience is preferred.
• Ability to develop meaningful dashboards, reports, and visualizations from complex datasets.

Snowflake & DBT

• Strong knowledge of Snowflake.
• Hands-on knowledge of DBT for data transformation and data modeling.

Nice-to-Have Skills

• AWS Certified Data Engineer certification.
• Knowledge of Git and CI/CD practices.
• Experience with GitLab or similar CI/CD tools.
• Knowledge of Infrastructure as Code (IaC).
• Experience with Terraform is preferred.
• Pharma domain experience is a plus.
• Experience with Agentic AI coding tools, such as VS Code Copilot or similar tools.

Preferred Candidate Profile

The ideal candidate should combine strong Data Engineering + AWS + Python + SQL + PySpark + BI expertise and be capable of working across the complete data lifecyclefrom data ingestion and transformation to data modeling, visualization, and business insights. Strong communication, problem-solving, collaboration, and ownership skills are expected.
Data Engineer + BI | Job Description