Senior Cloud Data Engineer

Job Description

Job Summary – Senior Data Engineer

Position: Senior Data Engineer
Experience: 4–8 Years
Locations: Coimbatore, Chennai, Bangalore, Hyderabad

Role Overview

The organization is looking for an experienced Senior Data Engineer to build and maintain scalable big data platforms, ETL pipelines, and cloud-based data solutions. The role involves working with Hadoop, PySpark, cloud technologies, and large-scale data processing to support analytics and business intelligence initiatives.

Key Responsibilities
Design, develop, and maintain scalable data pipelines.
Build and optimize ETL workflows for integrating data from multiple sources.
Develop Hadoop and PySpark applications for distributed data processing.
Ensure data quality, governance, and security across data platforms.
Implement and maintain cloud-based data solutions on AWS, Azure, or GCP.
Collaborate with data scientists, analysts, and business teams.
Optimize big data jobs and SQL queries for better performance.
Monitor emerging technologies and recommend improvements.
Required Technical Skills
Programming: Python, Scala, or Java
Big Data:
Hadoop (HDFS, Hive, Spark)
PySpark
ETL:
SSIS
Apache NiFi
Custom ETL pipelines
Cloud Platforms:
AWS
Microsoft Azure
Google Cloud Platform (GCP)
Databases:
SQL
NoSQL
Data Warehousing
Data Modeling
Big Data Architecture
Cloud Data Engineering
Required Experience
4–8 years in Data Engineering or Big Data Engineering.
Hands-on experience with:
Hadoop ecosystem
Distributed computing using Spark/PySpark
ETL development
Cloud data services
Data warehouse implementation
Soft Skills
Strong analytical and problem-solving abilities.
Good communication and collaboration skills.
Ability to work with cross-functional teams.
Continuous learning mindset.
Locations
Coimbatore
Chennai
Bangalore
Hyderabad
Salary
Not disclosed
Contact Details

Email: saranyadevib@talentien.com

Phone: +91 7305206696