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LTM

Senior Data Engineer

irving, TX

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About this opportunity

LTM lists this Senior Data Engineer opportunity in irving, Texas. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Data Processing EMR Glue Athena Lambda

Role Description

Sr. DATA Engineer

Work Location

Irving TX

Job 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

Core Responsibilities

AWS Solution Design Implementation Design develop and deploy scalable and costeffective 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

Required Skills Qualifications

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

Storage S3 for data lakes EC2

Data Processing EMR Glue Athena Lambda

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 for scripting data manipulation and AWS automation Boto3

Shell Scripting Proficient in shell scripting for automation and operational tasks

Database SQL Strong SQL skills for data querying and manipulation

Data Concepts Solid understanding of ETLELT processes data modeling distributed computing and data governance

Good to Have Skills

Containerization Orchestration Experience with Kubernetes for deploying and managing containerized applications

CICD Experience with CICD tools and practices eg AWS CodePipeline GitHub Actions GitLab CI for automating deployment of data solutions

Orchestration Experience with workflow orchestration tools like Apache Airflow

Version Control Proficient in using Git for source code management

Other Big Data Technologies Exposure to other big data technologies like Apache Kafka Flink or Presto

Certifications

AWS Certified Solutions Architect Associate Professional

AWS Certified Data Analytics Specialty

AWS Certified Developer Associate

Other Details

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

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

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

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

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.

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Worksite address

irving, TX, 75084, US

Who can apply

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