Senior Specialist - Architecture

• Primary skill Database SQL Data Modeling skills
• Secondary skill Tableau
• Core Data Engineering
• Design build and maintain scalable data pipelines using PySpark Spark SQL and Python
• Work with large scale data platforms Hive Impala S3 HDFS
• Implement ETLELT workflows using tools such as Talend or Ab Initio
• Ensure data quality performance and reliability across pipelines
• Optimize data models for analytics and AI use cases
• Advanced Analytics ML AI Enablement
• Analyse large datasets to identify trends anomalies and behavioral patterns
• Apply machine learning and AI concepts supervised unsupervised learning to support predictive and exploratory analysis
• Perform feature engineering and data transformations to enable ML models
• Partner with analytics and data science teams to prepare validate and operationalize datasets for AIML workflows
• Support trend analysis segmentation clustering and forecasting use cases
• Interpret analytical results and translate them into business-friendly insights
• Data Analysis Insight Generation
• Conduct deep dive data analysis using SQL Python and Spark
• Create analytical datasets for dashboards reporting and advanced analytics
• Validate trends and findings with statistical reasoning and data profiling
• Collaborate closely with stakeholders to answer complex business questions using data

Key Responsibilities

• Primary skill Database SQL Data Modeling skills
• Secondary skill Tableau
• Core Data Engineering
• Design build and maintain scalable data pipelines using PySpark Spark SQL and Python
• Work with large scale data platforms Hive Impala S3 HDFS
• Implement ETLELT workflows using tools such as Talend or Ab Initio
• Ensure data quality performance and reliability across pipelines
• Optimize data models for analytics and AI use cases
• Advanced Analytics ML AI Enablement
• Analyse large datasets to identify trends anomalies and behavioral patterns
• Apply machine learning and AI concepts supervised unsupervised learning to support predictive and exploratory analysis
• Perform feature engineering and data transformations to enable ML models
• Partner with analytics and data science teams to prepare validate and operationalize datasets for AIML workflows
• Support trend analysis segmentation clustering and forecasting use cases
• Interpret analytical results and translate them into business-friendly insights
• Data Analysis Insight Generation
• Conduct deep dive data analysis using SQL Python and Spark
• Create analytical datasets for dashboards reporting and advanced analytics
• Validate trends and findings with statistical reasoning and data profiling
• Collaborate closely with stakeholders to answer complex business questions using data

• Strong proficiency in Python PySpark and data ingestion tools must have
• Advanced SQL and RDBMS expertise
• Handson experience with Big Data technologies Spark Hive Impala HDFS S3 and data lake house architecture AWS Cloud Airflow Starburst Iceberg
• Strong experience in data analysis data exploration and trend identification
• Solid understanding of machine learning fundamentals like Regression classification clustering Feature engineering
• Mandatory Certificate Cloudera CCA Spark and Hadoop Developer CCA
  175 or Databricks Certified Associate Developer for Apache Spark

• Mandatory Skills :
  Data Architecture, Data lakehouse Architecture

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”) :

• 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…