Azure Data Engineer

AppsTek

Hyderabad

Hybrid

INR 1,200,000 - 1,500,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Benefits offered by this job

Exposure to enterprise-scale data platforms
Culture built on clarity and collaboration
Continuous improvement opportunities

Job summary

A digital engineering firm seeks an Azure Data Engineer in Hyderabad (Hybrid) to design and manage scalable data pipelines for real-time analytics. The ideal candidate has over 5 years of experience in Data Engineering, with at least 3 years in Azure Synapse and Azure Data Factory. You will collaborate with cross-functional teams to implement effective data solutions. The role offers opportunities to optimize data models and pipelines while working in an Agile environment, contributing to critical business insights.

Qualifications

  • 5+ years of total experience in Data Engineering or BI roles.
  • 3+ years of hands-on experience with Azure Synapse Analytics.
  • Strong expertise in Azure Data Factory (ADF) and Data Flows.

Responsibilities

  • Design, build, and maintain scalable ETL and ELT pipelines using Azure Synapse and Azure Data Factory.
  • Translate business requirements into robust technical implementations.
  • Optimize pipeline and query performance to support large-scale data workloads.

Skills

Azure Synapse Analytics
Azure Data Factory
SQL
Data modeling
REST APIs

Tools

Power BI
SSIS
SSRS
SSAS

Job description

  • Location: Hyderabad (Hybrid)
  • Employment Type:Full-time
  • Shift Timings:2:00 PM to 11:00 PM
  • Experience:5+ years total, including at least 3 years in Azure Synapse
About AppsTek Corp

AppsTek Corp is a global digital engineering company helping businesses navigate complexity with clarity and speed. With delivery hubs across the globe and a people‑first culture, AppsTek brings together talent and execution to address business‑critical challenges. The company’s growth is built on a foundation of inclusivity, high performance, and collaboration, with engineering at its core.

Role Overview

Data lies at the center of modern decision‑making, and this role plays a key part in making that data accessible, accurate, and actionable.

The Azure Data Engineer will design and manage robust, scalable data pipelines that support real‑time analytics and enterprise intelligence. Working closely with cross‑functional teams, this role will drive seamless data integration across cloud and hybrid environments. With a focus on performance, reliability, and clarity, the work directly supports business‑critical insights and long‑term data strategies.

What This Role Will Drive

Data Engineering and Integration

  • Design, build, and maintain scalable ETL and ELT pipelines using Azure Synapse and Azure Data Factory
  • Connect and transform data from multiple sources including REST APIs, on‑premise databases, and cloud platforms
  • Develop optimized data models (star/snowflake schemas) for analytical use
  • Execute complex transformations and data mapping using Data Flows in ADF and Synapse
  • Optimize pipeline and query performance to support large‑scale data workloads

Collaboration and Solution Delivery

  • Translate business requirements into robust technical implementations
  • Support dashboard and reporting needs in collaboration with Power BI teams
  • Apply best practices in cloud‑based data movement and orchestration
  • Assist with hybrid system integration using SSIS, SSRS, and SSAS when needed
  • Contribute to solution design in Agile‑based project environments
Preferred Profile
  • 5+ years of total experience in Data Engineering or BI roles
  • 3+ years of hands‑on experience with Azure Synapse Analytics
  • Strong expertise in Azure Data Factory (ADF) and Data Flows
  • Advanced skills in SQL for data manipulation, transformation, and optimization
  • Experience working with REST APIs, including handling pagination
  • Solid understanding of data modeling, mapping, and integration best practices
  • Familiarity with tools such as SSIS, SSRS, and SSAS for legacy workloads
  • Exposure to Power BI integration and Microsoft Azure environments
  • Added advantage if certified on Azure (e.g., DP‑203) or experienced with Delta Lake and Git integration
Why AppsTek Corp
  • Projects that challenge and expand technical depth
  • Exposure to enterprise‑scale data platforms and high‑impact delivery
  • A culture built on clarity, ownership, and collaboration
  • A team that values smart execution and continuous improvement
Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Azure Data Engineer
Azure Data Engineer

GP Strategies • Chennai District

Hybrid
INR 1,200,000 - 2,400,000
Lead Azure Data Engineer
Lead Azure Data Engineer

KPI Partners • Bengaluru

Hybrid
INR 1,400,000 - 2,200,000
Azure Data Engineer
Azure Data Engineer

Viraaj HR Solutions Private Limited • Ahmedabad District

On-site
INR 1,000,000 - 2,000,000
On-site collaborative workspace
Microsoft-certified training sponsorships
Opportunities with Fortune 500 clients
Azure Data Engineer
Azure Data Engineer

Virtusa • Bengaluru Urban

On-site
INR 1,200,000 - 1,900,000
Azure Data Engineer Azure Data Engineer Experience- 5 to 8 Years
Azure Data Engineer Azure Data Engineer Experience- 5 to 8 Years

Hoonartek • Pune District

On-site
INR 1,000,000 - 1,800,000
Azure Data Engineer
Azure Data Engineer

Siro Clinpharm • Khordha, Kolkata District

On-site
INR 1,800,000 - 3,000,000
Azure Data Engineer
Azure Data Engineer

EXL • Hyderabad

Hybrid
INR 1,400,000 - 2,000,000
Azure Data Engineer
Azure Data Engineer

viraaj hr solutions • Hyderabad

On-site
INR 1,500,000 - 2,500,000
On-site mentorship
Certification sponsorship
Fortune 500 projects
Azure Data Engineer / Azure Expert
Azure Data Engineer / Azure Expert

XTGLOBAL INFOTECH LIMITED • Visakhapatnam, Hyderabad

On-site
INR 1,200,000 - 1,800,000
Azure Data Engineer (Lead)
Azure Data Engineer (Lead)

TENARAI TECHNOLOGIES PRIVATE LIMITED • Dadri, Pune District, Bengaluru

Hybrid
INR 2,500,000 - 4,000,000