Associate Principal - Data Sciences

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, 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

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, 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

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:

• 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., Compensation range: $119,230.00 to $166,598.00 per year

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