Senior Analyst

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DE COE: DE COE

Designation Senior Analyst
Experience: 2 to 5 years
Location: Chennai, Tamil Nadu, India (CHN)
Job Description:

We are looking for a highly skilled and motivated Senior Analyst – Data Engineer with 2+ years of hands-on experience in AWS-based data solutions. The role involves designing, developing, and optimizing scalable data pipelines and architectures, along with data modelling, performance tuning, and mentoring junior engineers. This is a great opportunity to work in a cloud-native environment, solve complex data challenges, and grow into architectural and leadership roles.

Responsibilities:

1. Solution Architecture & Design

Assist in designing and implementing scalable, secure, and cost-efficient data architectures on AWS.
Work with senior architects and stakeholders to translate business needs into technical solutions.
Integrate data from multiple sources into a centralized data platform using AWS-native services.

2. Data Modelling & Implementation

Develop and maintain conceptual, logical, and physical data models.
Build, test, and deploy ETL/ELT pipelines using AWS-native and open-source tools.
Implement data governance, quality, and lineage frameworks across systems.

3. Performance Tuning & Optimization

Optimize ETL pipelines, queries, and storage layers for scalability and cost-effectiveness.
Leverage AWS services efficiently by fine-tuning compute, storage, and orchestration strategies.
Set up monitoring, logging, and automated alerts to proactively identify performance bottlenecks.

4. Leadership & Mentoring

Mentor junior engineers by providing technical guidance, conducting code reviews, and sharing best practices.
Collaborate closely with cross-functional teams to ensure smooth delivery of data engineering projects.
Support team leads and managers in strategic decision-making and architectural discussions.

Skills:

2 to 5 years in the Data Engineering domain

• 2+ years of hands-on experience in AWS Data Engineering services, including: o Amazon S3, Glue, Athena, Redshift, Lambda, EMR, Kinesis, Step Functions • Strong expertise in ETL/ELT pipeline design and implementation. • Proficiency in SQL and at least one programming language (Python / PySpark). • Solid understanding of data modelling, data warehousing, and schema design. • Experience with cloud-based orchestration tools (AWS Glue, Step Functions, or Apache Airflow). • Familiarity with version control (Git) and CI/CD practices for data pipelines. • Exposure to data lakehouse architectures and tools like Databricks, Apache Iceberg, or Delta Lake. • Experience working with real-time streaming frameworks like Kinesis or Kafka. • Understanding of data governance, security, and compliance within AWS environments. • Hands-on experience in Agile/Scrum delivery models. • Interest in growing into architectural and leadership roles.

Job Snapshot

Updated Date

10-11-2025

Job ID

J_4280

Location

Chennai, Tamil Nadu, India

Experience

2 - 5 Years

Employee Type

Permanent

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