Must Have Technical/Functional Skills
- Experience: 5 to 10+ years in data engineering, software development, or solution architecture, with hands-on Databricks production experience.
- Technical Stack: Strong proficiency in Python, SQL, or Scala; deep knowledge of Apache Spark runtime internals and Delta Lake.
- Cloud Ecosystems: Working knowledge of major cloud platforms like Microsoft Azure, AWS, or GCP.
- Certifications: Preferred credentials include Databricks Certified Data Engineer or Solutions Architect credentials. []
Roles & Responsibilities
- Architecture & Development: Design end-to-end data pipelines, ETL/ELT processes, and lakehouse storage patterns using Apache Spark, Delta Lake, and Python or SQL.
- Performance Tuning: Optimize cluster sizing, query execution, shuffles, partitions, and storage layouts for large-scale data workflows. [1]
- AI & Machine Learning Integration: Implement MLOps workflows, manage model lifecycles, or deploy generative AI and vector search solutions using tools like MLflow and Unity Catalog. [1]
- Collaboration & Consulting: Partner with enterprise stakeholders, data scientists, and software engineers to translate business requirements into technical solutions. [1]
- Administration & Governance: Oversee security configurations, access controls, workspace administration, and CI/CD deployment pipelines
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $130,000 - $150,000 a year