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Senior Analyst

Senior Analyst

LatentView Analytics

0 - 5 years

0 Lacs

chennai tamil nadu

Posted:1 week ago| Platform: Indeed logo

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Skills Required

data aws tuning mentoring leadership architecture logical test etl governance storage layers scalability orchestration monitoring logging code engineering support redshift pipeline design sql programming python pyspark apache airflow git databricks kafka security compliance agile scrum

Work Mode

On-site

Job Description

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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Senior Analyst