Thiruvananthapuram, Kerala Cloud devops engineer Jobs – 70 Open Jobs Today

Associate III - Data Engineering
UST —Thiruvananthapuram, Kerala
- Azure
- SQL
- AWS
2d
Senior Full Stack Developer – AI Engineering & Automation
REIZEND PRIVATE LIMITED —Technopark, Thiruvananthapuram, Kerala
- ₹10,00,000 - ₹20,00,000 a year
- Full-time
- Azure
- Computer Science
- DevOps
Quick apply
SR Java Developer- Trivandrum
VGreen Technology Solutions (VGreenTEK) —Thiruvananthapuram, Kerala
- ₹20,00,000 - ₹25,00,000 an hour
- Azure
- English
- Java
Quick apply
EY-GDS Consulting-AI And DATA-Databricks-Manager
EY —Thiruvananthapuram, Kerala
- Azure
- Computer Science
- DevOps
3d
Consultant - Product Security
Envestnet Asset Management, Inc —Thiruvananthapuram, Kerala
- Hybrid work
- Azure
- DevOps
- Java
- Health insurance
Lead – Pre-Sales/ Business Development
Trenser —Thiruvananthapuram, Kerala
- Azure
- DevOps
- Microsoft Office
Quick apply
Cloud Platforms Infrastructure Engineer
Guidehouse India Pvt Ltd —Technopark, Thiruvananthapuram, Kerala
- Full-time
- Remote
- Azure
- DevOps
- Research
13h
Quality Assurance Lead
EY —Thiruvananthapuram, Kerala
- Azure
- DevOps
- Java
2d
Lead II - Software Testing
UST —Thiruvananthapuram, Kerala
- Full-time
- Azure
- Computer Science
- Java
1d

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Associate III - Data Engineering

UST -
Thiruvananthapuram, Kerala

Apply Now

Job details

2 days ago

Qualifications

CI/CD
Performance tuning
Data modelling
Azure
Big data
Software deployment
Spark
Google Cloud Platform
SQL
AWS
Machine learning
Distributed systems
Scala
Terraform
Continuous integration
ETL
Kafka
Communication skills
Data warehouse
Python
Debugging

Full job description

Role description

Job Role: Senior Data Engineer
Job Location: Any UST Location
Notice Period: Immediate Joiners Only

Job Summary
We are seeking a highly skilled Senior Data Engineer with 6+ years of experience in designing, developing, and optimizing large-scale data platforms and pipelines. The ideal candidate will have strong expertise in Databricks, Apache Spark, ETL/ELT development, cloud data engineering, and data modelling. This role involves building scalable data solutions, implementing modern Lakehouse architectures, and collaborating with cross-functional teams to support data-driven business initiatives.

Key Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and distributed data processing frameworks.
Build and optimize high-performance big data solutions using Apache Spark with Python, Scala, or SQL.
Develop and manage Data Lake and Lakehouse architectures on cloud platforms such as AWS, Azure, or GCP.
Implement batch and real-time data ingestion pipelines from diverse structured, semi-structured, and unstructured data sources.
Optimize Databricks workloads through performance tuning, cluster configuration, workload management, and cost optimization.
Create and maintain reusable Databricks notebooks, workflows, jobs, and automation frameworks.
Leverage Delta Lake features including ACID transactions, schema evolution, partitioning, and data versioning.
Design efficient data models to support analytics, reporting, and machine learning workloads.
Collaborate with Data Scientists, Data Analysts, Product Teams, and Business Stakeholders to deliver scalable data solutions.
Implement data quality checks, monitoring frameworks, and automated validation processes.
Ensure compliance with enterprise data governance, security, privacy, and regulatory standards.
Troubleshoot production issues, perform root cause analysis, and drive continuous platform improvements.
Contribute to CI/CD implementation and DevOps best practices for data engineering solutions.

Required Skills & Qualifications

6+ years of experience in Data Engineering and Big Data technologies.
Strong hands-on experience with Databricks and Apache Spark.
Proficiency in Python, Scala, and SQL for data processing and transformation.
Experience designing and implementing ETL/ELT pipelines in enterprise environments.
Strong knowledge of Data Modeling, Data Warehousing, and Lakehouse architectures.
Experience with Delta Lake, data partitioning, schema management, and performance optimization.
Hands-on experience with cloud platforms:
- Amazon Web Services (AWS)
- Microsoft Azure
- Google Cloud Platform (GCP)
Knowledge of distributed computing concepts and large-scale data processing.
Experience implementing CI/CD pipelines and deployment automation.
Strong troubleshooting, debugging, and performance tuning skills.
Excellent communication and stakeholder management abilities.

Preferred Qualifications

Experience with streaming technologies such as Spark Structured Streaming, Kafka, or Event Hubs.
Knowledge of Data Governance, Data Quality, and Data Security frameworks.
Experience with Infrastructure as Code (Terraform, CloudFormation, ARM Templates).
Databricks, AWS, Azure, or GCP certifications are preferred.
Exposure to MLOps and advanced analytics platforms is a plus.

Skills

Data Engineering, Databricks, Data Processing, Data Modeling

About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

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Refine Your Search

cloud devops engineer jobs in thiruvananthapuram, kerala

Associate III - Data Engineering

Senior Full Stack Developer – AI Engineering & Automation

SR Java Developer- Trivandrum

EY-GDS Consulting-AI And DATA-Databricks-Manager

Consultant - Product Security

Lead – Pre-Sales/ Business Development

Cloud Platforms Infrastructure Engineer

Quality Assurance Lead

Lead II - Software Testing

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