| Location | Tampa, FL |
| Salary | $119,230–$166,598 Per Year |
Careers at LTM
Associate Principal - Data Sciences
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Role description
Job Title : Data Architect
Certification Required Databricks Certified Associate Developer for Apache Spark
Job Summary
We are seeking a skilled PySpark Developer to design develop and optimize largescale data processing solutions using Apache Spark and Python The ideal candidate will have experience building ETL pipelines handling big data workloads and working with cloudbased data platforms to support analytics reporting and data engineering initiatives
Key Responsibilities
Design develop and maintain scalable data pipelines using PySpark
Build and optimize ETLELT processes for structured and unstructured data
Process large datasets using Apache Spark in distributed environments
Collaborate with business analysts data architects and data scientists to understand data requirements
Integrate data from multiple sources including databases APIs and cloud storage
Perform data cleansing transformation and validation activities
Optimize Spark jobs for performance scalability and resource utilization
Develop data quality checks and monitoring mechanisms
Troubleshoot production issues and provide timely resolutions
Implement best practices for coding testing deployment and documentation
Work with cloud platforms such as AWS Azure or GCP for data engineering solutions
Participate in code reviews and ensure adherence to development standards
Required Skills
Strong experience in Python and PySpark development
Handson experience with Apache Spark Spark SQL DataFrames and Spark Streaming
Strong knowledge of SQL and relational databases
Experience with ETL development and data warehousing concepts
Familiarity with Hadoop ecosystem technologies HDFS Hive Yarn
Experience with version control systems such as Git
Understanding of distributed computing concepts and performance tuning
Knowledge of workflow orchestration tools such as Airflow Oozie or Azure Data Factory
Strong analytical and problemsolving skills
Preferred Skills
Experience with cloud platforms AWS EMR Azure Databricks Azure Synapse GCP Dataproc
Exposure to Delta Lake Iceberg or Lakehouse architectures
Experience with Kafka or other realtime streaming solutions
Knowledge of CICD pipelines and DevOps practices
Understanding of data governance security and compliance requirements
Qualifications
Bachelors or Masters degree in Computer Science Information Technology Engineering or a related field
58 years of experience in Data Engineering or Big Data development
Relevant certifications in Spark Databricks Azure AWS or GCP are an added advantage
NicetoHave Technologies
Databricks
Azure Data Factory ADF
Azure Synapse Analytics
AWS Glue
Kafka
Delta Lake
Hive
Airflow
Snowflake
Sample Experience Requirement
11 years of experience in Data Engineering
11 years of handson experience with PySpark development
Experience designing and supporting enterprisescale data platforms
Proven ability to optimize Spark applications for highvolume data processing
Key Competencies
Communication and stakeholder management
Problemsolving and analytical thinking
Team collaboration
Attention to detail
Ownership and accountability
This JD can be used for Data Engineer PySpark Senior PySpark Developer or PySpark Lead roles with minor modifications to experience and leadership expectations
Skills
Mandatory Skills : PySpark-Data Science
Other details
Variable Compensation: This position includes a bonus or variable payout component based on individual and organizational performance. 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:
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: $ 119,230.00 to 166,598.00 per year
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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 - https://www.ltm.com/careers/recruitment-fraud-alert
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