Senior Data Engineer

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

Role Description

• Design develop and maintain scalable data pipelines for batch and realtime data processing
• Gather and analyze business and data requirements from customer stakeholders
• Build optimize and support ETLELT workflows using modern data engineering tools and frameworks
• Design and implement data models data marts and enterprise data warehouse solutions
• Develop data integration solutions for structured semistructured and unstructured data sources
• Collaborate with Business Intelligence Analytics Data Science and Application teams to deliver data solutions
• Ensure data quality integrity governance and security standards are maintained across data platforms
• Monitor troubleshoot and optimize data pipelines for performance reliability and scalability
• Support cloudbased data platforms and Lakehouse architectures using Azure AWS Databricks Snowflake or equivalent technologies
• Participate in release planning deployment activities and production support
• Drive automation and continuous improvement initiatives across data engineering processes
• Provide technical guidance to offshore teams and coordinate deliverables across global teams
• Prepare technical documentation data dictionaries architecture artifacts and operational runbooks
• Support incident management root cause analysis and resolution of production issues

Technical Skills Expected

• SQL Python PySpark Spark SQL
• Databricks Delta Lake Lakehouse Architecture
• Azure Data Factory ADF Azure Synapse Microsoft Fabric
• Snowflake Informatica Hadoop Ecosystem
• AWS Data Services S3 Glue EMR
• CICD Git Azure DevOps
• Data Warehousing Data Modeling StarSnowflake
• Kafka and Streaming Frameworks preferred

Other Details

Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits And Perks

• Comprehensive Medical Plan Covering Medical, Dental, Vision
• Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Vacation Time, Sick Leave, Paid Holidays
• Paid Paternity and Maternity Leave

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree ("LTIM"):

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.