Role Overview :

Quadrasystems is building its Data Analytics capability within the AWS SBU. As an

Engineer - Data Analytics, you will design, build, and operationalise data pipelines,

analytics architectures, and reporting platforms on AWS for enterprise clients. You will work across structured and unstructured datasets, delivering actionable intelligence that drives measurable business outcomes.

Key Responsibilities :

- Design and implement data ingestion pipelines using AWS Glue, AWS Data

Migration Service (DMS), and Amazon Kinesis for batch and streaming workloads.
- Build and maintain data lakes and data warehouses on Amazon S3, AWS Lake

Formation, and Amazon Redshift.
- Develop ETL/ELT workflows using Apache Spark (via AWS Glue or Amazon EMR),

dbt, and SQL-based transformations.
- Create analytics dashboards and self-service BI reports using Amazon QuickSight,

integrating with data sources across Redshift, Athena, and RDS.
- Query and analyse large-scale datasets using Amazon Athena and Presto on

federated data sources.
- Implement data quality, cataloguing, and governance using AWS Glue Data

Catalog and AWS Lake Formation permissions.
- Collaborate with ML engineers to prepare feature datasets for model training

pipelines on Amazon SageMaker.
- Monitor and optimise pipeline performance, cost, and reliability on AWS using

CloudWatch, Cost Explorer, and Trusted Advisor.
- Participate in client engagements - translating business requirements into

technical data architectures.

Technical Skills Required :

AWS Data Services (Primary)

- Amazon Redshift, Amazon Athena, AWS Glue, Amazon EMR
- Amazon Kinesis (Data Streams, Firehose), AWS DMS
- Amazon S3, AWS Lake Formation, AWS Glue Data Catalog

Confidential Quadrasystems.net





Quadrasystems.net India Private Limited

AWS SBU - Job Descriptions 2026

- Amazon QuickSight, Amazon RDS / Aurora

Underlying Technologies (Broadly Applicable) :

- SQL (advanced) - window functions, CTEs, query optimisation
- Python or Scala for data transformation scripting
- Apache Spark, Apache Kafka (conceptual understanding for migration to

Kinesis/MSK)
- dbt (Data Build Tool) for transformation layer
- Relational databases (PostgreSQL, MySQL) and NoSQL (DynamoDB, MongoDB)
- Data modelling - dimensional, star/snowflake schema, Data Vault concepts
- Git-based version control and CI/CD for data pipelines

Good to Have :

- AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect -

Associate
- Familiarity with Apache Iceberg, Delta Lake, or Hudi table formats
- Exposure to real-time analytics and event-driven architectures

Qualifications :

- Bachelors degree in Computer Science, Information Technology, Data

Engineering, or a related field
- 2+ years of hands-on experience in data engineering, analytics, or a closely related

technical role
- Demonstrated experience delivering data pipelines or analytics platforms in cloud

environments (AWS preferred)

Why Quadrasystems:

Quadrasystems has delivered cloud and AI architectures for over 25 years. Our AWS

SBU is at the forefront of data-driven enterprise transformation - offering you direct exposure to enterprise-scale AWS architectures, cross-industry client projects, and a learning setting built on real outcomes, not certifications alone.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Engineer - Data Analytics (Bengaluru)
🏢 Quadrasystems.Net
📍 Bengaluru