Sr Hadoop Flink and Iceberg

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  more information, please visit

Work Location :
Tampa, Florida

Duration:
Full time

About the Role We are seeking a highly skilled and experienced Data Engineer to join our growing data team. This role will be instrumental in designing, building, optimizing, and maintaining our robust data infrastructure and pipelines. The candidate will work with cutting‑edge big data technologies to ingest, process, store, and transform large datasets, enabling advanced analytics and machine‑learning initiatives across the organization.

The ideal candidate will have a deep understanding of data warehousing, ETL/E‑L‑T processes, and a passion for building scalable and reliable data solutions.

• Design, develop and maintain scalable and efficient data pipelines using Apache Spark, Java, Sparkpy, and Apache Flink for real‑time and batch processing of large datasets
• Implement and manage data storage solutions leveraging Hadoop Distributed File System (HDFS) and data lake table formats such as Apache Iceberg
• Build and optimize data models and schema definitions for various data sources and targets, ensuring data quality, consistency, and accessibility
• Work with stakeholders to understand data requirements, translate them into technical specifications, and deliver robust data solutions
• Monitor, troubleshoot, and optimize existing data pipelines and infrastructure for performance, reliability, and cost efficiency
• Develop and implement data governance, security, and compliance best practices within the data ecosystem
• Collaborate with data scientists, analysts and other engineering teams to support their data needs and integrate new data sources
• Evaluate and recommend new technologies and methodologies to enhance our data platform capabilities
• Ensure proper documentation of data architectures, pipelines, and processes

• Bachelor's or Master’s degree in Computer Science, Engineering or a related quantitative field
• Proven experience as a Data Engineer or in a similar role building and optimizing big‑data pipelines, architectures and data sets
• Strong proficiency in programming languages such as Python (extensive py Spark experience), Java or Scala
• Expertise in Apache Spark for data processing, including Spark SQL, Data Frames and RDDs
• Hands‑on experience with the Apache Hadoop ecosystem, especially HDFS
• Experience with real‑time stream processing using Apache Flink
• Familiarity with data lake table formats, specifically Apache Iceberg for managing large evolving datasets
• Experience with relational SQL and No
  
  SQL databases
• Solid understanding of ETL/E‑L‑T processes, data warehousing concepts and data modeling techniques
• Good to have experience with cloud platforms (AWS, Azure, GCP) and their data services
• Excellent problem‑solving, analytical and communication skills

Mandatory Skills : Apache Spark, Java, SparkSQL

• Comprehensive Medical Plan covering Medical, Dental, Vision
• Short‑Term and Long‑Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Paid Paternity and Maternity Leave

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, affectionate 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.