Specialist - Data Engineering

Role description

Job Title : Specialist data engineering ( Need Iceberg and Flink)

Work Location : Tampa, Florida

Job Description:

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 Candidate will work with cuttingedge 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 ETLELT processes and a passion for building scalable and reliable data solutions

Key Responsibilities

Design develop and maintain scalable and efficient data pipelines using Apache SparkJava Spark pySpark and Apache Flink for realtime 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 costefficiency
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 Experience

Bachelors or Masters 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 data pipelines architectures and data sets
Strong proficiency in programming languages such as Python with extensive pySpark experience Java or Scala
Expertise in Apache Spark for data processing including Spark SQL DataFrames and RDDs
Handson experience with Apache Hadoop ecosystem components particularly HDFS
Experience with realtime 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 ETLELT processes data warehousing concepts and data modeling techniques
Good to have experience with cloud platforms eg AWS Azure GCP and their data services
Excellent problemsolving analytical and communication skills

Skills
Mandatory Skills : Apache Spark, Databricks, Java, SparkSQL

Other details

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.

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.

Benefits
Compensation range: $90,032.00 to $134,200.00 per year
About LTM
LTM 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. 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. Recruitment Fraud Alert -