Senior Data Scientist

Primary Responsibilities

• Technical Leadership
• Architect, design, and implement scalable data platforms, pipelines, and ETL/ELT workflows
• Lead end-to-end data engineering efforts, ensuring reliability, performance, and cost-efficient data systems
• Mentor and guide junior and senior data engineers, fostering a culture of technical excellence and collaboration
• Collaborate with cross-functional teams (analytics, product, engineering, business) to align data solutions with business goals
• Data Engineering & Pipeline Development
• Build, optimize, and maintain robust data pipelines using Python, SQL, and Apache Airflow
• Manage large-scale data ingestion, transformation, and orchestration frameworks
• Optimize database queries, stored procedures, and schema design in MSSQL and other SQL/NoSQL systems
• Cloud & Infrastructure
• Develop and manage cloud-native data platforms using AWS services (S3, Glue, Lambda, RDS, Redshift, EC2, Step Functions, etc.)
• Ensure high availability, disaster recovery, and monitoring of critical data workflows
• Implement CI/CD, infrastructure-as-code, and DevOps practices for data engineering workloads
• Data Warehousing & Modeling
• Design and enhance enterprise data warehouses and data marts following industry best practices
• Drive dimensional modeling, data partitioning, performance tuning, and metadata management
• Ensure consistency and quality across analytical datasets and data sources
• Data Governance & Quality
• Establish data quality frameworks, lineage tracking, validation checks, and documentation
• Implement governance standards including security, compliance, and access control
• Partner with business stakeholders to define and enforce master data and reference data strategies
• Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI

Required Qualifications

• Bachelor's degree in CS or IT related field
• 10+ years of experience in Data Engineering, with at least 3+ years in a senior/principal-level role
• 7+ years of experience in MSSQL-query optimization, indexing, stored procedures, performance tuning
• 7+ years of experience in Data Warehousing, ETL/ELT, and big-data processing
• 5+ years of hands-on experience with AWS Cloud for data architecture and pipeline development
• 5+ years of extensive experience with Airflow for workflow orchestration
• 3+ years of experience in Python for data engineering (Pandas, PySpark, etc.)
• 2+ years of experience in data management principles: governance, quality, lineage, and security

Preferred Qualifications

• Excellent leadership, communication, and cross-team collaboration skills
• Ability to translate business needs into scalable technical designs