Brillio: Associate Data Engineer

About Associate Data Engineer at Brillio

Brillio is a purpose-led digital technology consulting and engineering partner trusted by Fortune 1000 enterprises worldwide to turn digital disruption into competitive market advantage. As an Associate Data Engineer at Brillio's global delivery and innovation campus in Bengaluru, you will join an agile engineering organization dedicated to creating robust enterprise data ecosystems. This foundational role is designed for ambitious technologists seeking to master production data pipelines, cloud data warehousing, and high-throughput analytical engineering.

In your day-to-day role, you will collaborate closely with experienced cloud architects, senior data engineers, and AI/ML solution designers. You will participate in developing modern data pipelines utilizing Python, SQL, and AWS services including Amazon Athena, Amazon Redshift, AWS Kinesis, SQS, and CloudWatch. Working in an agile engineering environment, your responsibilities will range from writing clean data extraction routines to profiling query performance, maintaining data quality, and monitoring cloud pipeline execution.

Brillio offers early-career engineers extensive opportunities for continuous skill development, enterprise cloud certifications, and technical mentorship. Over your first twelve months, you will establish a deep technical grounding across distributed data processing, automated continuous delivery, and enterprise big data solutions. For engineering graduates looking to accelerate their trajectory in cloud data engineering and applied enterprise analytics, Brillio provides an inspiring and growth-oriented career launchpad.

Roles & Responsibilities

• Develop, maintain, and optimize robust data extraction, transformation, and loading (ETL) pipelines using Python and SQL to ingest diverse structured and unstructured data assets.
• Implement automated data validation checks and schema enforcement routines to maintain high levels of data accuracy, consistency, and governance.
• Configure and manage AWS cloud messaging and ingestion components including Amazon Kinesis, SQS, and SNS to enable real-time and batch data streaming.
• Optimize database schemas, indexing strategies, and SQL queries within cloud data warehouses such as Amazon Redshift and Amazon Athena for high analytical throughput.
• Collaborate actively with senior data architects and business intelligence teams to translate functional business requirements into scalable technical data pipelines.
• Monitor production data pipeline health, track data processing logs, and configure alerting metrics using Amazon CloudWatch to eliminate processing bottlenecks.
• Write comprehensive automated unit tests and integration test suites for data pipelines to ensure zero regressions during continuous deployment cycles.
• Participate in agile sprint planning sessions, daily standups, and peer code reviews to foster strong engineering discipline and maintain code quality standards.
• Investigate and troubleshoot data anomalies, source system failures, and pipeline bottlenecks, implementing permanent automated remediation fixes.
• Document data pipeline architectures, technical workflow specifications, source-to-target mappings, and operational runbooks for enterprise data repositories.

Requirements & Eligibility

• Bachelor's degree in Computer Science, Information Technology, Data Science, Software Engineering, or a related quantitative field.
• Foundational understanding of core computer science principles, data structures, algorithm design, and relational database management systems.
• Strong hands-on programming skills in Python with proficiency in writing clean, modular, and maintainable data manipulation scripts.
• Solid proficiency in relational databases and SQL, with the capability to write complex queries, joins, window functions, and aggregations.
• Familiarity with cloud computing concepts and foundational AWS infrastructure services such as Amazon S3, EC2, Lambda, Athena, and Redshift.
• Basic knowledge of distributed data workflows, messaging queues (SQS/SNS), and real-time streaming architectures (Kinesis or Kafka).
• Understanding of modern version control workflows utilizing Git and collaborative platforms such as GitHub or GitLab.
• Familiarity with Linux command-line environments, basic shell scripting, and containerization fundamentals using Docker.
• Strong analytical problem-solving abilities with high attention to detail and an enthusiasm for enterprise data architecture.
• Excellent verbal and written communication skills with the capability to articulate technical challenges and collaborate in agile team pods.

Key Skills & Technologies

This entry-level data engineering role emphasizes strong Python scripting capabilities, relational database expertise, and cloud-native AWS analytics tools.

• Python & SQL: Core programming and querying languages utilized for building modular data pipelines, data transformation logic, and automated workflows.
• Amazon Redshift & Athena: Cloud data warehousing and interactive serverless query services used for large-scale enterprise analytics.
• AWS Kinesis, SQS & SNS: Cloud messaging, distributed queues, and real-time data streaming services utilized for decoupled data processing.
• Amazon S3 & CloudWatch: Object storage and telemetry monitoring platforms used to store data lake assets and track pipeline system health.
• Git & CI/CD Pipelines: Version control and deployment automation tools applied for collaborative software development and reliable test deployments.
• Linux & Shell Scripting: Operating system environments and command-line utilities used for routine server administration and batch job orchestration.

Why Join Brillio?

• Join a rapidly growing, award-winning digital transformation consultancy recognized globally for its innovation in enterprise AI and cloud engineering.
• Work on high-impact projects for Fortune 1000 enterprises, architecting modernized data platforms that drive decisive commercial outcomes.
• Benefit from structured early-career development programs, executive mentoring, and sponsored industry certifications across major cloud providers.
• Thrive in a dynamic, people-first company culture recognized as a Great Place to Work® with dedicated employee wellness and growth programs.

Expected Salary

Based on verified compensation benchmarks from AmbitionBox and Glassdoor for entry-level Associate Data Engineers at Brillio in Bengaluru, the annual compensation package typically ranges between ₹4,50,000 and ₹7,00,000 per annum. In addition to a competitive fixed base salary, Brillio offers performance-linked incentives, comprehensive medical coverage for employees and dependents, and continuous professional upskilling support. Final compensation packages are determined based on technical evaluation performance, candidate academic background, and relevant project experience.