Data Engineer
Listed on 2026-08-22
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IT/Tech
Data Engineering, AWS, Cloud Computing: Infrastructure & Operations
LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation more information, please visit
Job Title: Sr. DATA Engineer
Work LocationJob Description
Mandatory Karat Interview
Role Overview- We are seeking a highly skilled and motivated AWS Certified Engineer to design build and optimize scalable data solutions within the Amazon Web Services AWS ecosystem
- The ideal candidate will have strong expertise in big data processing using PySpark and a deep understanding of data warehousing concepts including Hive and modern table formats like Iceberg
- This role involves developing deploying and managing robust efficient and secure data pipelines and analytics solutions on AWS leveraging core networking and compute services
- AWS Solution Design Implementation Design develop and deploy scalable and cost effective data solutions on AWS leveraging services such as S3 for data lakes EC2 EMR Glue Athena Lambda Redshift and Kinesis
- Data Pipeline Development Build and maintain robust ETLELT data pipelines using PySpark for data ingestion transformation and loading into various data stores including those utilizing open table formats like Iceberg
- Big Data Processing Develop and optimize big data processing jobs using PySpark on AWS EMR or AWS Glue handling large datasets efficiently and integrating with Iceberg table formats
- Data Warehousing Design implement and manage data warehousing solutions including schema design data modeling and query optimization with a focus on Hive and modern data lake table formats like Iceberg for historical data and analytical queries
- Cloud Infrastructure Networking Implement secure and robust cloud infrastructure components including VPCs subnets routing and security groups to ensure proper connectivity and isolation for data solutions
- Containerized Workloads Design deploy and manage containerized data processing applications on Amazon Elastic Kubernetes Service EKSPerformance Tuning Optimization Optimize AWS resources and big data applications Spark Hive Iceberg for performance cost and efficiency
- Data Governance Security Implement best practices for data security access control and compliance within AWS including IAM policies S3 bucket policies and encryption
- Monitoring Troubleshooting Set up monitoring ing and logging for data pipelines and AWS infrastructure troubleshoot and resolve issues promptly
- Automation Develop and maintain automation scripts using Python and shell scripting for infrastructure provisioning deployment and operational tasks
- Collaboration Work closely with data scientists analysts and other engineering teams to understand data requirements and deliver reliable data solutions
- AWS Certification Hold at least one AWS certification eg AWS Certified Solutions Architect Associate AWS Certified Data Analytics Specialty AWS Certified Developer Associate
- AWS Services Expertise Handson experience with key AWS services for data processing and storage including
- Networking VPC Subnets Routing Security Groups
- Containerization EKS
- Big Data Processing Strong proficiency in PySpark for developing complex data transformations and analytics
- Data Lake Table Formats Practical experience with Apache Iceberg for managing and querying data lakes
- Data Warehousing Indepth knowledge and practical experience with Apache Hive for data storage querying and schema management
- Programming Languages
- Python Expert level proficiency in Python…
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