Fullstack Architect

**Job Information**:
Date Opened
- 09/08/2025

City
- Saidapet

Country
- India

Job Role
- Application Engineering

State/Province
- Tamil Nadu

Industry
- IT Services

Job Type
- Full time

Zip/Postal Code
- 600096

Introduction to the Role:
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.

Accountabilities:

- 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.
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.

Essential Skills / Experience:

- 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.

Desirable Skills / Experience:

- 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.
- Our most important asset? People.
- 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.
- And 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