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Sr Python with Flink, Iceberg, Starburst

Exclusive opportunity

Onsite

Sr Python with Flink, Iceberg, Starburst

LTM

Sr Python with Flink, Iceberg, Starburst

Skills

Google Cloud PlatformSQL QueriesData EngineeringDockerPythonJavaKafkaData AnalysisScalaAWSKubernetesApache AirflowDigital TransformationAzure

3 months ago

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Important information


Contract type:

Permanent

Salary:

$83,912 – $128,080 / year

Location:

Irving, TX, USA

Work mode:

Onsite

Published on:

14 August 2026

What they need


About LTIMindtree

LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 750 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltimindtree.com

Job Title: Data engineer with Flink, Starburst

Work Location : Irving, Texas

Duration: Full time.

Job Description

  • Senior Data Engineer to design and build scalable high performance data platforms for Realtime and analytical workloads The role focuses on streaming Lakehouse and federated query architectures using Apache Flink Apache Iceberg and Starburst Trino in a cloud environment

Key Responsibilities

  • Build and operate real time streaming pipelines using Apache Flink
  • Design and manage Lakehouse architectures with Apache Iceberg
  • Enable federated analytics using Starburst Trino
  • Develop and optimize ETL pipelines using Python Scala Java
  • Integrate data platforms with AWS Azure GCP services
  • Tune performance across pipelines tables and queries
  • Ensure data quality governance monitoring and reliability
  • Contribute to platform architecture and mentor junior engineers

Required Qualifications

  • 7 years in data engineering and largescale data platforms
  • Strong hands-on experience with Flink Iceberg and Trino
  • Proficiency in Python Scala or Java and strong SQL skills
  • Experience with cloud data services and distributed systems
  • Knowledge of Kafka Docker Kubernetes and data warehousing concepts

Preferred

  • Financial services experience
  • Cloud certifications
  • Exposure to Delta Lake Hudi and Airflow

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 Canada 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.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, colour, 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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