Agilisium Walk-In Drive 2026 in Chennai: Exciting Opportunity for Senior Data Engineers with Databricks, PySpark, AWS, and Python Experience
The demand for skilled Data Engineers continues to grow rapidly as organizations increasingly rely on data-driven decision-making. If you have experience working with modern data platforms, cloud technologies, and big data tools, a promising career opportunity has opened up in Chennai.
Agilisium, a leading technology and analytics company, has announced a Walk-In Drive for the position of Senior Data Engineer at its Chennai office. This hiring event is scheduled for 27th June 2026 and is targeted at experienced professionals who have strong expertise in Databricks, PySpark, Python, AWS, SQL, and Data Modeling.
For candidates who have been looking for Data Engineer jobs in Chennai, AWS Data Engineer openings, Databricks jobs, or PySpark developer opportunities, this walk-in drive could be the perfect chance to explore a new role with a growing organization.
Whether you are actively searching for a job change or simply looking for better career growth opportunities, this hiring event deserves your attention.
Agilisium Walk-In Drive 2026: Job Overview
| Particulars | Details |
|---|---|
| Company Name | Agilisium |
| Job Role | Senior Data Engineer |
| Experience Required | 4+ Years |
| Job Location | Chennai |
| Employment Type | Full-Time, Permanent |
| Walk-In Date | 27 June 2026 |
| Interview Timing | 10:00 AM to 3:00 PM |
| Industry Type | IT Services & Consulting |
| Department | Data Science & Analytics |
| Role Category | Business Intelligence & Analytics |
| Education Qualification | Any Graduate / Any Postgraduate |
| Salary | Not Disclosed |
| Preferred Candidates | Immediate Joiners and June Joiners |
About Agilisium
Agilisium is known for delivering advanced analytics, cloud transformation, artificial intelligence, and data engineering solutions to organizations across various industries. The company focuses heavily on helping businesses unlock the power of their data through modern technologies and scalable cloud platforms.
As enterprises continue to migrate their data ecosystems to the cloud, professionals who possess strong expertise in cloud-based data engineering are becoming increasingly valuable. This hiring drive reflects the growing need for experienced engineers who can design, build, and optimize data platforms capable of handling large-scale business requirements.
Working with Agilisium can provide exposure to modern technologies, enterprise-grade data platforms, and large-scale analytics projects that contribute significantly to career growth.
Why Data Engineering Is One of the Hottest Careers in 2026
Over the last few years, Data Engineering has emerged as one of the most sought-after technology careers worldwide. Companies generate enormous amounts of data every day, but without a reliable infrastructure to collect, process, and organize that information, data cannot deliver business value.
This is where Data Engineers play a crucial role.
A Data Engineer is responsible for:
Building scalable data pipelines
Managing data storage systems
Integrating data from multiple sources
Optimizing database performance
Supporting analytics and reporting teams
Ensuring data quality and reliability
Implementing cloud-based data solutions
Organizations across healthcare, finance, retail, e-commerce, manufacturing, and technology sectors are investing heavily in data engineering talent.
As a result, professionals with expertise in Databricks, PySpark, AWS, Python, and SQL are currently among the most in-demand candidates in the technology industry.
Walk-In Interview Details
Candidates interested in attending the interview can visit the venue directly on the specified date.
Interview Date
27 June 2026
Interview Time
10:00 AM to 3:00 PM
Interview Location
Agilisium Consulting India Pvt. Ltd.
World Trade Center (WTC)
Tower B, 1st Floor
5/142 OMR, Perungudi
Chennai – 600096
Eligibility Criteria
To be considered for the Senior Data Engineer position, candidates should possess a minimum of four years of relevant industry experience.
The company is particularly interested in professionals who have practical experience working with modern data engineering tools and cloud environments.
Required Experience
Minimum 4 years of professional experience
Experience working as a Data Engineer
Hands-on expertise in large-scale data processing
Experience with cloud-based data platforms
Strong problem-solving abilities
Immediate joiners and candidates available to join within June will receive preference during the hiring process.
Technical Skills Required
One of the biggest highlights of this role is the opportunity to work with cutting-edge technologies that are widely used in modern data ecosystems.
Let's take a closer look at the skills Agilisium is seeking.
Databricks
Databricks has become one of the most popular unified analytics platforms in the industry. Candidates should be comfortable building and managing data workflows using Databricks.
Expected knowledge includes:
Databricks notebooks
Data transformation
Data lake architecture
Spark optimization
Cluster management
PySpark
PySpark is an essential skill for modern Data Engineers.
Candidates should have experience with:
Distributed data processing
Spark DataFrames
Performance tuning
Large-scale ETL development
Data transformation pipelines
Python
Python remains one of the most widely used programming languages in data engineering.
Candidates should be proficient in:
Data manipulation
Automation scripting
Pipeline development
API integrations
Error handling and debugging
AWS Cloud Services
Cloud expertise is a major requirement for this role.
Hands-on experience with the following AWS services is highly desirable:
Amazon S3
AWS Glue
Amazon EMR
Amazon Redshift
AWS Lambda
AWS Step Functions
Candidates who have worked on cloud-native architectures will have a significant advantage.
SQL
Strong SQL skills are mandatory.
Applicants should be comfortable with:
Complex query writing
Query optimization
Stored procedures
Performance tuning
Data validation
Data Modeling
A solid understanding of data modeling concepts is expected.
This includes:
Star schema design
Snowflake schema design
Dimensional modeling
Fact and dimension tables
Data warehouse architecture
Key Responsibilities of the Senior Data Engineer
Selected candidates will play a vital role in building and maintaining enterprise-level data infrastructure.
Design and Develop Data Pipelines
You will create robust and scalable pipelines capable of processing large volumes of structured and unstructured data.
Manage Cloud-Based Data Systems
The role requires managing cloud resources and ensuring efficient data movement across AWS environments.
Optimize Data Performance
You will continuously improve the performance of databases, data transformations, and reporting systems.
Implement ETL and ELT Processes
Developing efficient ETL and ELT workflows will be one of the primary responsibilities.
Collaborate with Cross-Functional Teams
You will work closely with business analysts, data scientists, architects, and stakeholders to deliver high-quality data solutions.
Maintain Data Quality
Ensuring accuracy, consistency, and reliability of data will be a critical part of the job.
Additional Skills That Can Boost Your Chances
While not specifically listed, having the following skills may strengthen your profile:
Apache Spark
Airflow
GitHub
CI/CD Pipelines
Data Lake Architecture
Azure Data Engineering
Machine Learning Data Pipelines
Kafka
Snowflake
Terraform
Employers often value candidates who demonstrate continuous learning and adaptability.
Documents to Carry for the Walk-In Interview
Candidates should bring:
Updated Resume
Government ID Proof
Passport Size Photographs
Educational Certificates
Experience Letters
Latest Salary Slips
Offer Letters (if applicable)
Relieving Letters from previous employers
Having all documents readily available can help speed up the interview process.
Details to Share with the Recruiter
Candidates are requested to provide:
Total IT Experience
Relevant Databricks Experience
Relevant PySpark Experience
Relevant Python Experience
Relevant Data Modeling Experience
Current Location
Preferred Joining Location
Notice Period
Last Working Day
Current CTC
Expected CTC
Availability for Face-to-Face Interview
Preparing these details in advance can make the interaction smoother and more professional.
Why You Should Consider Attending This Walk-In Drive
There are several reasons why this opportunity stands out:
Opportunity to Work with Modern Technologies
You'll be working with industry-leading technologies such as Databricks, AWS, Python, and PySpark.
Strong Career Growth Potential
Data Engineering remains one of the highest-growth technology domains globally.
Exposure to Enterprise Projects
Agilisium works with large-scale data initiatives that can significantly enhance your professional experience.
Growing Demand for Data Engineers
Companies across industries are actively hiring skilled data professionals, making this an excellent time to advance your career.
Final Thoughts
The Agilisium Walk-In Drive for Senior Data Engineers in Chennai presents an excellent opportunity for experienced professionals looking to work on modern data engineering projects using Databricks, PySpark, AWS, SQL, and Python.
With a minimum requirement of 4 years of experience, this role is ideal for candidates who want to strengthen their careers in cloud data engineering, big data processing, and enterprise analytics solutions.
If your skills align with the requirements and you're available for a face-to-face interview on 27th June 2026, make sure to prepare your resume, gather the necessary documents, and attend the walk-in drive.
Opportunities in Data Engineering continue to grow every year, and this could be the next big step in your professional journey.
Stay tuned for more latest IT jobs, walk-in drives, software engineer hiring updates, data engineering opportunities, and career alerts from top companies across India.
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