Senior Data Engineer

LTM; Chennai District, Bengaluru; Hybrid; INR 3,000,000 - 5,500,000; Full time

Job summary

LTM in Bangalore seeks a Senior Data Engineer with 7 years of experience to design, build, and maintain scalable data platforms and analytics solutions. The role focuses on ETL/ELT development, Spark/Databricks ecosystems, and Azure Data Services to power BI, analytics, and AI/ML initiatives.

You will collaborate with data scientists, analysts, and business stakeholders to deliver data-driven solutions while ensuring data quality, governance, and security across platforms.

Qualifications

• 7+ years of experience in data engineering and building scalable data platforms.
• Experience with CICD/DevOps and cloud-based data platforms.
• Azure Data Engineer Associate certification preferred.
• Strong analytical and stakeholder management skills.

Responsibilities

• Design, develop and optimize ETL/ELT data pipelines for large-scale processing.
• Build and maintain data solutions using Apache Spark, Databricks, SQL and Python.
• Develop batch and real-time data ingestion frameworks.
• Design and implement enterprise data warehouses, data marts and lakehouse architectures.
• Create data models to support business requirements and ensure data quality.

Skills

Azure IOT

Apache Spark

PySpark

Python

SQL

ETL/ELT

Databricks

Azure Data Services

Education

Bachelor's/Master's in CS/Data Science

Tools

Azure Data Factory

Azure Synapse Analytics

ADLS/Data Lake

Job description

Role Senior Data Engineer

Experience 7 Years

Location - Bellandur bangalore
Shift- 1.30pm- 10.30pm

Role Summary

We are seeking a highly skilled Senior Data Engineer with 7 years of experience in designing developing and maintaining scalable data platforms and analytics solutions The ideal candidate will have strong expertise in Data Engineering ETLELT development Apache Spark Databricks SQL Python Data Warehousing Data Modeling Streaming Data and Azure Data Services The role requires building reliable highperformance data pipelines that enable business intelligence advanced analytics and AIML initiatives

Key Responsibilities

• Design develop and optimize ETLELT data pipelines for largescale data processing
• Build and maintain data solutions using Apache Spark Databricks SQL and Python
• Develop robust batch and realtime data ingestion frameworks
• Design and implement enterprise data warehouses data marts and lakehouse architectures
• Create and maintain logical and physical data models to support business requirements
• Ensure data quality governance security and compliance across data platforms
• Develop streaming data solutions using eventdriven architectures and realtime processing frameworks
• Utilize Azure Data Factory Azure Synapse Analytics and related Azure data services for orchestration and transformation
• Collaborate with data scientists analysts and business stakeholders to deliver datadriven solutions
• Monitor troubleshoot and optimize data platform performance and reliability

Bachelors or Masters degree in Computer Science Engineering Data Science or related field

Experience with CICD DevOps and cloudbased data platforms

Azure Data Engineer Associate certification preferred

Strong analytical problemsolving and stakeholder management skills

Skills

• Mandatory Skills : Azure IOT,Apache Spark / PySpark,Python,SQL,
• ETL / ELT, ADF,ADLS Data Modeling, Databricks