- LLM/ML frameworks (LangChain, LangGraph, TensorFlow, PyTorch, scikit-learn)
- API design + integration, JSON/REST
- Cloud compute automation (AWS, GCP, Azure)
- Security platform integrations
- Experience with SOC workflows and detection engineering
- Proven expertise in designing and building scalable data pipelines using big data technologies
- (e.g., Spark, Hadoop, Kafka).
- Strong proficiency in at least one programming language (e.g., Python, Scala, Java) for
- data manipulation and automation.
- Extensive experience with cloud data platforms (e.g., AWS Redshift, S3, Glue, EMR; Azure Data Factory,
- Synapse, Data Lake; Google BigQuery, Dataflow, Cloud Storage).
- Solid understanding of relational databases (e.g., PostgreSQL, MySQL, SQL Server) and NoSQL databases
- (e.g., MongoDB, Cassandra).
- Expertise in SQL for complex data querying, manipulation, and optimization.
- Experience with data warehousing concepts, dimensional modeling, and schema design.
- Familiarity with version control systems (e.g., Git).
- Experience with data orchestration tools (e.g., Apache Airflow, Prefect, Dagster, Splunk SOAR).
- Knowledge of data governance, data security, and compliance best practices (e.g., GDPR, CCPA).
- Experience with real-time data streaming technologies (e.g., Kafka, Kinesis).
- Familiarity with containerization technologies (e.g., Docker, Kubernetes).
- Experience with CI/CD pipelines for data solutions.
- Experience with SIEM technologies (e.g., Splunk, ELK)
- Understanding of machine learning concepts and experience supporting ML model deployment.
- Certifications in relevant cloud platforms (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate).
- Experience with FedRAMP and Impact Level policies, implementations, compliance
- MUST be a U.S. Citizen
Salary Range: $100,000- $135,000 a year
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 & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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