Senior Data Engineer

Vertex Agility

Ahmedabad District

Remote

INR 2,000,000 - 4,000,000

Full time

14 days+

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Benefits offered by this job

Competitive salary and benefits
Opportunity to work with a global team
Flexible remote working

Job summary

A tech company based in Ahmedabad, Gujarat, is seeking a skilled Senior Data Engineer to design, build, and maintain scalable data pipelines and data warehousing solutions. The ideal candidate will have over 6 years of experience with ETL, Snowflake, and Python. This role offers a competitive salary, the opportunity to work on impactful data projects, and flexible remote working aligned to UK timings.

Qualifications

  • 6+ years of hands-on experience in Data Engineering with strong ETL and data warehousing concepts.
  • Proficient in Snowflake architecture, SQL, stored procedures, performance tuning.
  • Strong Python programming skills, especially for data cleaning and pipeline automation.
  • Strong Python for data cleaning and pipelines
  • PowerBI dashboards and reports
  • Data modeling and modern data architecture
  • Able to work independently in a fast-paced environment
  • Comfortable with UK business hours

Responsibilities

  • Design, develop, and maintain efficient ETL/ELT pipelines using Snowflake and Azure Data Fabric.
  • Create interactive and insightful dashboards and reports in PowerBI for business stakeholders.
  • Ensure data quality, governance, and security across the data lifecycle.
  • Create PowerBI dashboards and reports for stakeholders
  • Collaborate with analysts, business teams, and engineers on requirements
  • Ensure data quality, governance, and security across the lifecycle
  • Monitor, troubleshoot, and improve data processes for reliability

Skills

Data Engineering
ETL
Snowflake
Python
PowerBI
Data Warehousing
Azure Data Fabric

Tools

Azure Data Factory
Git

Job description

Work Hours: UK Timings (IST overlap or full UK shift, as applicable)

Job Summary

We are looking for a skilled Senior Data Engineer with strong expertise in designing, building, and maintaining scalable data pipelines and data warehousing solutions. The ideal candidate will have hands‑on experience with modern cloud data technologies and visualization tools and will play a key role in transforming raw data into actionable insights.

Key Responsibilities
  • Design, develop, and maintain efficient and reliable ETL/ELT pipelines using Snowflake and Azure Data Fabric.
  • Perform advanced data cleaning, transformation, and integration using Python.
  • Develop and optimize data models for data warehousing to support analytics and reporting.
  • Create interactive and insightful dashboards and reports in PowerBI for business stakeholders.
  • Collaborate with data analysts, business teams, and other engineers to understand requirements and deliver scalable solutions.
  • Ensure data quality, governance, and security across the data lifecycle.
  • Monitor, troubleshoot, and improve existing data processes for performance and reliability.
Required Skills & Qualifications
  • 6+ years of hands‑on experience in Data Engineering with strong ETL and data warehousing concepts.
  • Proficient in Snowflake (architecture, SQL, stored procedures, performance tuning).
  • Experience with Azure Data Fabric for data integration and orchestration.
  • Strong Python programming skills, especially for data cleaning, transformation, and pipeline automation.
  • Expertise in building and maintaining PowerBI dashboards and reports.
  • Solid understanding of data modeling, warehousing, and modern data architecture.
  • Ability to work independently and collaboratively in a fast‑paced environment.
  • Must be comfortable working in UK business hours.
Nice to Have
  • Knowledge of other Azure services (Azure Data Factory, Synapse, Blob Storage).
  • Familiarity with version control (Git) and CI/CD for data pipelines.
  • Experience in agile methodologies and working with cross‑functional teams.
What We Offer
  • Competitive salary and benefits.
  • Opportunity to work with a global team on impactful data projects.
  • Flexible remote working with alignment to UK timings.
Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

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