Data Engineer

INVARSYS CONSULTANCY PVT LTD
Posted on
INVARSYS CONSULTANCY PVT LTD logo

Experience
3 - 8 yrs
Job Location
Noida, India
Vacancy
1
Designation
Data Engineer
Job Type
Not specified

Job Description

Data Engineer

The role involves building scalable data pipelines, managing large datasets, and transforming raw data into meaningful business insights. Strong expertise in Python, SQL, ETL workflows, and cloud-based data platforms is essential.

Job Details

Work From Office

Monday - Friday

Noida and Indore

Job Summary

We are looking for a passionate and analytical Data Engineer (3-7 years) to join our growing team at Invarsys. In this role, you will design, develop, and optimize modern data solutions that drive business intelligence, analytics, and operational efficiency.

You will work on large-scale datasets, ETL pipelines, cloud data platforms, and scalable architectures while collaborating with cross-functional teams to deliver impactful data-driven solutions. This is an exciting opportunity to work on advanced technologies across Cloud, Data Engineering, Analytics, and AI-driven ecosystems in a fast-paced and innovation-driven environment.

Responsibilities

  • Design, build, and maintain scalable ETL pipelines and data warehouse solutions
  • Develop and optimize data models to support analytics and business intelligence requirements
  • Work with large datasets, perform data transformation, validation, and optimization
  • Support and maintain data environments, ensuring reliability and performance
  • Collaborate with cross-functional teams to deliver data-driven business solutions
  • Work within Agile project management frameworks to meet delivery objectives
  • Implement scalable cloud-based data engineering solutions
  • Build dashboards and reporting solutions using BI tools like Tableau, Looker, or Power BI
  • Optimize data environments for operational efficiency and performance
  • Contribute to innovative proof-of-concepts (POCs) and data-driven solution strategies

What We're Looking For

  • 3-7 years of hands-on experience in Data Engineering or Data Analytics
  • Strong proficiency in Python, SQL, and ETL development
  • Experience with Snowflake and modern data warehousing concepts
  • Knowledge of cloud ecosystems such as AWS or Google Cloud Platform
  • Experience with business visualization tools like Tableau, Power BI, or Looker
  • Strong analytical thinking and problem-solving skills
  • A self-driven, energetic, and growth-focused professional
  • A dynamic team player eager to innovate and scale
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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