Senior Data Engineer: Scale Data Pipelines & Lakehouse

LTM; Atlanta (GA); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Medical plan

Disability coverage

401(k) with match

Life insurance

Paid time off

Parental leave

Job summary

LTIMindtree is seeking a senior data engineer in Atlanta to design, develop and maintain scalable data pipelines for batch and real-time processing. You will gather requirements from stakeholders and collaborate with BI, analytics and data science teams to deliver data-driven solutions.

The role emphasizes data quality, governance, security and production support across cloud platforms (Azure, AWS) and lakehouse architectures.

Qualifications

• Experience designing and maintaining scalable data pipelines for batch and real-time processing.
• Ability to gather and analyze business and data requirements from stakeholders.
• Knowledge of ETL/ELT workflows and modern data engineering tools and frameworks.

Responsibilities

• Design, develop and maintain scalable data pipelines for batch and real-time data processing.
• Gather and analyze business and data requirements from customer stakeholders.
• Build, optimize and support ETL/ELT workflows using modern data engineering tools and frameworks.
• Collaborate with BI, Analytics, Data Science and Application teams to deliver data solutions.
• Provide technical guidance to offshore teams and coordinate deliverables across global teams.

Skills

SQL

Python

PySpark

Spark SQL

Tools

Databricks

Delta Lake

Lakehouse Architecture

Azure Data Factory

Azure Synapse

Snowflake

Informatica

Hadoop Ecosystem

AWS Data Services

S3

Glue

EMR

Kafka

Job description

LTIMindtree is seeking a senior data engineer in Atlanta to design, develop and maintain scalable data pipelines for batch and real-time processing. You will gather requirements from stakeholders and collaborate with BI, analytics and data science teams to deliver data-driven solutions.

The role emphasizes data quality, governance, security and production support across cloud platforms (Azure, AWS) and lakehouse architectures.