Specialist - Data Engineering

Careers at LTMSpecialist - Data EngineeringJob ID: 8838145 - 9 Years1 OpeningIrving - Texas - USAApply NowShare with friendsShare on FacebookShare on LinkedinPost on X AppEmail your friendsRole descriptionJob Title: Sr. BIG DATA EngineerWork LocationIrving TXJob Description:Mandatory Karat InterviewRole OverviewWe 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 servicesCore ResponsibilitiesAWS 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 KinesisData 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 IcebergBig 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 formatsData 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 queriesCloud Infrastructure Networking Implement secure and robust cloud infrastructure components including VPCs subnets routing and security groups to ensure proper connectivity and isolation for data solutionsContainerized 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 efficiencyData Governance Security Implement best practices for data security access control and compliance within AWS including IAM policies S3 bucket policies and encryptionMonitoring Troubleshooting Set up monitoring ing and logging for data pipelines and AWS infrastructure troubleshoot and resolve issues promptlyAutomation Develop and maintain automation scripts using Python and shell scripting for infrastructure provisioning deployment and operational tasksCollaboration Work closely with data scientists analysts and other engineering teams to understand data requirements and deliver reliable data solutionsRequired Skills QualificationsAWS Certification Hold at least one AWS certification eg AWS Certified Solutions Architect Associate AWS Certified Data Analytics Specialty AWS Certified Developer AssociateAWS Services Expertise Handson experience with key AWS services for data processing and storage includingStorage S3 for data lakes EC2Data Processing EMR Glue Athena LambdaNetworking VPC Subnets Routing Security GroupsContainerization EKSBig Data Processing Strong proficiency in PySpark for developing complex data transformations and analyticsData Lake Table Formats Practical experience with Apache Iceberg for managing and querying data lakesData Warehousing Indepth knowledge and practical experience with Apache Hive for data storage querying and schema managementProgramming LanguagesPython Expert level proficiency in Python for scripting data manipulation and AWS automation Boto3Shell Scripting Proficient in shell scripting for automation and operational tasksDatabase SQL Strong SQL skills for data querying and manipulationData Concepts Solid understanding of ETLELT processes data modeling distributed computing and data governanceGood to Have SkillsContainerization Orchestration Experience with Kubernetes for deploying and managing containerized applicationsCICD Experience with CICD tools and practices eg AWS CodePipeline GitHub Actions GitLab CI for automating deployment of data solutionsOrchestration Experience with workflow orchestration tools like Apache AirflowVersion Control Proficient in using Git for source code managementOther Big Data Technologies Exposure to other big data technologies like Apache Kafka Flink or PrestoCertificationsAWS Certified Solutions Architect Associate ProfessionalAWS Certified Data Analytics SpecialtyAWS Certified Developer AssociateSkillsMandatory Skills : Apache Spark, Big Data Hadoop Ecosystem, Python, Python for DATA, SparkSQLOther detailsActual 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, VisionShort Term and Long-Term Disability Coverage401(k) Plan with Company matchLife InsuranceVacation Time, Sick Leave, Paid HolidaysPaid Paternity and Maternity LeaveThe 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: 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.BenefitsCompensation range: $ 83,912.00 to 128,080.00 per yearView all 1039 role(s)Apply NowShare with friendsToggle DropdownShare on FacebookShare on LinkedinShare on WhatsAppPost on X AppEmail your friendsView moreAbout LTMLTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI - enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM - a Larsen & Toubro company - owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. 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• 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, Mandatory Skills : Apache Spark, Big Data Hadoop Ecosystem, Python, Python for DATA, SparkSQL

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: The compensation and benefits information provided herein is accurate as of the date of this posting., Compensation range: $ 83,912.00 to 128,080.00 per year