Associate Principal - Data Sciences

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

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

• 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.