Senior Fullstack Developer

Agilisium Technologies LLC.; Chennai; On-site; INR 800,000 - 1,200,000; Full time

Benefits offered by this job

Flexible working hours

Collaborative environment

Job summary

A leading IT solution provider is looking for a Data Engineer to join their innovative team in Chennai, India. In this role, you will design scalable data pipelines and support data-driven initiatives using AWS and modern data technologies. Ideal candidates should have solid experience in Python, SQL, and cloud services. Join us to transform business outcomes through data!

Qualifications

• 4 to 6 years of professional experience in Data Engineering or related field.
• Strong programming experience in Python and complex SQL queries.
• Experience with AWS cloud services and distributed data processing.

Responsibilities

• Design and optimize scalable data pipelines using SQL and PySpark.
• Collaborate with teams for reliable data delivery.
• Build and maintain data models for analytics and AI.

Skills

Python

SQL

PySpark

Databricks

AWS

Data Governance

Education

Bachelor's degree in a related field

Tools

AWS services (S3, Glue, EMR, Athena, Redshift, Lambda)

Airflow

Data visualization tools (Power BI, Tableau)

Job description

Overview

Are you passionate about unlocking the power of data to drive innovation and transform business outcomes? Join our cutting-edge Data Engineering team and be a key player in delivering scalable, secure, and high-performing data solutions across the enterprise. As a Data Engineer, you will design and develop modern data pipelines and platforms that support data-driven decision-making and AI-powered products. With a focus on Python, SQL, AWS, PySpark, and Databricks, you will enable the transformation of raw data into valuable insights by applying engineering best practices in a cloud-first environment.

We are looking for a highly motivated professional who can work across teams to build and manage robust, efficient, and secure data ecosystems that support both analytical and operational workloads.

Responsibilities

• Design, build, and optimize scalable data pipelines using PySpark, Databricks, and SQL on AWS cloud platforms.
• Collaborate with data analysts, data scientists, and business users to understand data requirements and ensure reliable, high-quality data delivery.
• Implement batch and streaming data ingestion frameworks from a variety of sources (structured, semi-structured, and unstructured data).
• Develop reusable, parameterized ETL/ELT components and data ingestion frameworks.
• Perform data transformation, cleansing, validation, and enrichment using Python and PySpark.
• Build and maintain data models, data marts, and logical/physical data structures that support BI, analytics, and AI initiatives.
• Apply best practices in software engineering, version control (Git), code reviews, and agile development processes.
• Ensure data pipelines are well-tested, monitored, and robust with proper logging and alerting mechanisms.
• Optimize performance of distributed data processing workflows and large datasets.
• Leverage AWS services (such as S3, Glue, Lambda, EMR, Redshift, Athena) for data orchestration and lakehouse architecture design.
• Participate in data governance practices and ensure compliance with data privacy, security, and quality standards.
• Contribute to documentation of processes, workflows, metadata, and lineage using tools such as Data Catalogs or Collibra (if applicable).
• Drive continuous improvement in engineering practices, tools, and automation to increase productivity and delivery quality.
• Minimum 4 to 6 years of professional experience in Data Engineering or a related field.
• Strong programming experience with Python and experience using Python for data wrangling, pipeline automation, and scripting.
• Deep expertise in writing complex and optimized SQL queries on large-scale datasets.
• Solid hands-on experience with PySpark and distributed data processing frameworks.
• Expertise working with Databricks for developing and orchestrating data pipelines.
• Experience with AWS cloud services such as S3, Glue, EMR, Athena, Redshift, and Lambda.
• Practical understanding of ETL/ELT development patterns and data modeling principles (Star/Snowflake schemas).
• Experience with job orchestration tools like Airflow, Databricks Jobs, or AWS Step Functions.
• Understanding of data lake, lakehouse, and data warehouse architectures.
• Familiarity with DevOps and CI/CD tools for code deployment (e.g., Git, Jenkins, GitHub Actions).
• Strong troubleshooting and performance optimization skills in large-scale data processing environments.
• Excellent communication and collaboration skills, with the ability to work in cross-functional agile teams.
• AWS or Databricks certifications (e.g., AWS Certified Data Analytics, Databricks Data Engineer Associate/Professional).
• Exposure to data observability, monitoring, and alerting frameworks (e.g., Monte Carlo, Datadog, CloudWatch).
• Experience working in healthcare, life sciences, finance, or another regulated industry.
• Familiarity with data governance and compliance standards (GDPR, HIPAA, etc.).
• Knowledge of modern data architectures (Data Mesh, Data Fabric).
• Exposure to streaming data tools like Kafka, Kinesis, or Spark Structured Streaming.
• Experience with data visualization tools such as Power BI, Tableau, or QuickSight.

Work Environment & Collaboration

We value a hybrid, collaborative environment that encourages shared learning and innovation. You will work closely with product owners, architects, analysts, and data scientists across geographies to solve real-world business problems using cutting-edge technologies and methodologies. We encourage flexibility while maintaining a strong in-office presence for better team synergy and innovation.

About Agilisium

Agilisium is an AWS technology Advanced Consulting Partner that enables companies to accelerate their Data-to-Insights-Leap.

With $50+ million in annual revenue and over 30% year-over-year growth, Agilisium is one of the fastest-growing IT solution providers in Southern California.

Talent management plays a vital role in our business strategy. We’re looking for “drivers”; big thinkers with growth and strategic mindset — people who are committed to customer obsession, aren’t afraid to experiment with new ideas. We are all about finding and nurturing individuals who are ready to do great work. At Agilisium, you’ll collaborate with great minds while being challenged to meet and exceed your potential.