Senior AWS Data Engineer: PySpark, Iceberg & Hive

LTM; Tampa (FL); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Comprehensive Medical Plan

401(k) Plan with Company match

Paid Paternity and Maternity Leave

Short/Long-Term Disability Coverage

Life Insurance

Job summary

LTIMindtree is seeking a Sr. DATA Engineer to design and optimize scalable data solutions on AWS. You will implement PySpark-based ETL pipelines, manage data lakes and support analytics with Iceberg and Hive.

The role requires strong AWS data services experience, scripting skills in Python and Shell, and collaboration with data scientists and engineers to deliver robust data products.

Qualifications

• AWS certification required or in progress.
• Hands-on experience with core AWS data services (S3/EC2/EMR/Glue/Athena/Redshift).
• Strong PySpark development for ETL/ELT data pipelines.
• Experience with Iceberg and Hive for data warehousing.

Responsibilities

• Design, build and deploy scalable data solutions on AWS.
• Develop and maintain PySpark ETL/ELT pipelines.
• Implement data warehousing with Hive and Iceberg for analytics.

Skills

AWS Certification

PySpark

Big Data Processing

Data Warehousing

Hive

Iceberg

Python

Shell Scripting

SQL

Data Governance

Networking

Education

AWS Certified Solutions Architect Associate

AWS Certified Data Analytics Specialty

Tools

S3

EC2

EMR

Glue

Athena

Redshift

Kinesis

Job description

LTIMindtree is seeking a Sr. DATA Engineer to design and optimize scalable data solutions on AWS. You will implement PySpark-based ETL pipelines, manage data lakes and support analytics with Iceberg and Hive.

The role requires strong AWS data services experience, scripting skills in Python and Shell, and collaboration with data scientists and engineers to deliver robust data products.