Careers at LTM Specialist - Architecture
7 - 10 Years
Role Description: Need VI candidates
Job Title: Data engineer with Iceberg Flink Work Location: Irving, Texas Job Description: Senior Data Engineer to design and build scalable high-performance data platforms for Real-time 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 large-scale 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
Skills: Mandatory Skills: • Java • Python • Scala Other details:
Benefits and Perks: Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401k Plan with Company match Life Insurance Vacation Time Sick Leave Paid Holidays Paid Paternity and Maternity Leave
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.
LT Mindtree 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.
Benefits: Compensation range: $83,120.00 to $128,080.00 per year View all 465 roles Apply Now Share with friends Toggle Dropdown Share on Facebook Share on Linkedin Share on WhatsApp Post on X App Email your friends View more
About LTM: LT Mindtree is an AI-centric global technology services company and the Business Creativity partner to the worlds 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 or 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. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same.
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