Specialist - Data Engineering

Job Title Specialist data engineering (Need Iceberg and Flink) Location Tampa, Florida 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/ELT processes, and a passion for building scalable and reliable data solutions. Key Responsibilities Design, develop and maintain scalable and efficient data pipelines using Apache Spark, Java, Spark/PySpark, 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 like 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. Required Skills and Experience 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 PySpark experience) and Java or Scala. Expertise in Apache Spark for data processing including Spark SQL, DataFrames and RDDs. Hands‑on experience with the Apache Hadoop ecosystem, particularly 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 NoSQL databases. Solid understanding of ETL/ELT processes, data warehousing concepts and data modeling techniques. Good to have experience with cloud platforms (eg. AWS, Azure, GCP) and their data services. Excellent problem‑solving, analytical and communication skills. Benefits Comprehensive Medical Plan covering medical, dental and vision. Short‑Term and Long‑Term Disability Coverage. 401(k) plan with company match. Life insurance. Vacation time, sick leave and paid holidays. Paid paternity and maternity leave. Compensation range: $90,032.00 to $134,200.00 per year. Within the range, individual pay is determined by work location, job level and additional factors including job‑related skills, experience and relevant education or training. Equal Employment Opportunity 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, 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. #J-18808-Ljbffr LTM