Introduction

Sparity is hiring candidates for the role of Data Engineer in Hyderabad through a walk-in recruitment drive scheduled on 6th June 2026. Candidates with B.Tech, B.E, BCA, B.Sc, MCA, or M.Tech qualifications and 4–10 years of relevant experience can attend this hiring event. Professionals looking for Sparity Data Engineer Jobs can leverage this opportunity to work on cutting-edge technologies such as Databricks, Azure Data Factory, Microsoft Fabric, AWS Glue, Redshift, SQL, PySpark, and cloud-based data platforms. The company is seeking talented data engineering professionals who can build scalable ETL/ELT solutions and modern data architectures.

Job Overview

About Company

Sparity is a Digital, Data, and Cloud transformation company focused on helping organizations accelerate innovation through modern technology solutions. The company provides expertise in cloud computing, data engineering, analytics, artificial intelligence, enterprise applications, and digital transformation services. Sparity serves global clients across multiple industries by delivering scalable and business-driven technology solutions.

The organization emphasizes continuous learning, innovation, and employee development. Employees gain exposure to modern cloud technologies, enterprise-scale data platforms, advanced analytics, and digital transformation initiatives. Sparity fosters a collaborative work environment where professionals can enhance both technical and leadership skills. Through investments in employee training and professional growth, the company provides opportunities to work on challenging projects involving Azure, AWS, Databricks, Microsoft Fabric, and modern data architectures.

Roles and Responsibilities

• Design and develop scalable ETL and ELT pipelines.

• Build cloud-based data engineering solutions using Azure and AWS.

• Develop data transformations using SQL, PySpark, Spark, and Python.

• Work with Databricks, Synapse Analytics, Microsoft Fabric, AWS Glue, and Redshift.

• Optimize data pipelines, queries, and processing performance.

• Implement Data Lake and Lakehouse architectures.

• Ensure data quality, governance, reliability, and scalability.

• Collaborate with business stakeholders and cross-functional teams.

• Support enterprise analytics and reporting requirements.

• Troubleshoot and resolve data platform issues.

Required Skills

Technical Skills

• Databricks

• SQL

• PySpark

• Apache Spark

• Azure Data Factory

• Microsoft Fabric

• Synapse Analytics

• AWS Glue

• Amazon Redshift

• Python

• Data Engineering

• ETL/ELT Development

• Data Warehousing

• CDC Implementation

• Data Lake & Lakehouse Concepts

Soft Skills

• Communication Skills

• Teamwork

• Problem Solving

• Analytical Thinking

• Stakeholder Management

• Time Management

Eligibility Criteria

• B.Tech / B.E in any specialization

• BCA graduates

• B.Sc (Computer Science or IT)

• MCA graduates

• M.Tech graduates

• 4–10 years of Data Engineering experience

• Strong communication skills

• Hands-on experience with cloud data platforms

Preferred Skills

• Microsoft Fabric Certifications

• Azure Certifications

• AWS Certifications

• Power BI Experience

• Data Modeling Knowledge

• Client-Facing Experience

• Project Delivery Experience

• Cloud Architecture Knowledge

Salary and Benefits

• Competitive compensation package

• Health insurance coverage

• Paid leaves and holidays

• Professional learning programs

• Exposure to enterprise projects

• Career advancement opportunities

• Collaborative work environment

• Modern cloud technology exposure

Why Join Sparity

Sparity provides excellent opportunities for experienced Data Engineers to work on enterprise-scale cloud and data engineering projects. Employees gain hands-on exposure to modern technologies including Databricks, Azure, AWS, Microsoft Fabric, Data Lakes, and Lakehouse architectures. The company promotes continuous learning, innovation, and professional growth. Working at Sparity enables professionals to build expertise in cloud-native data solutions while collaborating with experienced teams and global clients.

Selection Process

1. Walk-In Registration

2. Resume Screening

3. Technical Assessment

4. Technical Interview

5. Managerial Interview

6. HR Discussion

7. Offer Letter

How to Apply

1. Prepare your updated resume.

2. Carry valid ID proof and educational documents.

3. Attend the walk-in drive on 6 June 2026.

4. Complete registration at the venue.

5. Participate in the interview process.

6. Await final selection results.

Apply Now

Official Application Method: Walk-In Directly

Venue:

Sparity Soft Technologies Pvt Ltd

Ground Floor, Sri Sai Towers

Plot No. 91A & 91B, Vittal Rao Nagar

Madhapur, Hyderabad – 500081

Important Dates