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VY SYSTEMS PRIVATE LIMITED's logo

Data Engineer

Jancy A's profile picture
Posted by Jancy A
5 - 7 yrs
₹4L - ₹20L / yr
Bengaluru (Bangalore)
Skills
Data Engineer,
skill iconPython
ETL
DevOps

Job Summary

Role Overview

We are looking for an experienced Data Engineer with strong expertise in Python, ETL, Advanced SQL, CI/CD, DevOps, and Data Analytics. The ideal candidate should have hands-on experience designing and developing scalable data pipelines, transforming large datasets, and supporting data-driven applications.

Experience with Google Cloud Platform (GCP) will be an added advantage.

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT data pipelines using Python and SQL.
  • Develop complex and optimized SQL queries, stored procedures, and data transformations.
  • Build and maintain reliable data integration workflows across multiple data sources.
  • Perform data cleansing, validation, transformation, and quality checks.
  • Analyze data and provide insights to support business and technical requirements.
  • Implement and maintain CI/CD pipelines for data engineering applications.
  • Work with DevOps practices and tools to automate deployments, monitoring, and infrastructure processes.
  • Troubleshoot data pipeline failures, performance issues, and production incidents.
  • Optimize data processing workflows for performance, scalability, and reliability.
  • Collaborate with Data Analysts, Data Scientists, Developers, and other stakeholders.
  • Follow best practices for version control, testing, documentation, and deployment.
  • Contribute to cloud-based data engineering initiatives, preferably on GCP.

Required Skills

  • 5–7 years of hands-on experience in Data Engineering.
  • Strong programming skills in Python.
  • Strong expertise in Advanced SQL and database concepts.
  • Hands-on experience with ETL/ELT processes and data pipelines.
  • Good understanding of Data Warehousing and Data Modeling concepts.
  • Experience with CI/CD practices and tools.
  • Strong understanding of DevOps principles, automation, and deployment processes.
  • Strong data analytics and problem-solving skills.
  • Experience working with large datasets and performance optimization.
  • Good understanding of Git/version control and software development best practices.

Good to Have

  • Hands-on experience with Google Cloud Platform (GCP).
  • Exposure to GCP data services such as BigQuery, Cloud Storage, Dataflow, Composer, or Pub/Sub.
  • Experience with containerization/orchestration technologies such as Docker/Kubernetes.
  • Experience with workflow orchestration tools such as Airflow.
  • Knowledge of cloud-based data architecture and distributed data processing.

Preferred Candidate Profile

  • Strong analytical and problem-solving abilities.
  • Good communication and stakeholder management skills.
  • Ability to work independently as well as in a collaborative team environment.
  • Strong ownership of data pipelines and production systems.
  • Candidates who can join at short notice are preferred.

Mandatory Skills

 Data Engineer, Python , ETL, GCP, Advanced SQL, Strong Data Analytics skills, CICD, Devops


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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About VY SYSTEMS PRIVATE LIMITED

Founded :
2000
Type :
Services
Size :
100-1000
Stage :
Profitable

About

Vy Systems is a Global Technology consulting, Solutions, and Managed Technology Services company. We service our customers with ‘RESPONSIVENESS’ as a key factor and we believe that timely response to any transaction increases the operational efficiency and accelerates the revenue and profitability to our customers.

The Company is founded and managed by a team of professionals having more than two+ decades of global experience in the business of Technology Consulting and Services.


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Tech stack

IT consulting

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