Data Engineering Lead

You’ll need to have:

Bachelor’s or advanced degree in Computer Science, Data Engineering, or a related field.

4–15 years of professional data engineering experience.

Strong Python, SQL, and Spark (PySpark) skills, and/or Kafka.

Snowflake (Snowpipe, Tasks, Streams) as a complementary warehouse.

Databricks (Delta formats, workflows, cataloging) or equivalent Spark platforms.

Hands-on experience building ETL/ELT with Prefect (or Airflow), dbt, Spark, and/or Kafka.

Experience onboarding datasets to cloud data platforms (storage, compute, security, governance).

Familiarity with Azure/AWS/GCP data services (e.g., S3/ADLS/GCS; Redshift/BigQuery; Glue/ADF).

Git-based workflows CI/CD and containerization with Docker (Kubernetes a plus).

It Is a Bonus To Have

Advanced APIM practices (custom policies, OAuth2/JWT, mTLS, private endpoints) and Azure AD integration.

Integrating datasets into MCP tools/providers for LLM/agent applications; familiarity with frameworks such as LangChain or LlamaIndex.

Data observability/quality tools (e.g., Great Expectations, Monte Carlo, Datafold) and strong lineage practices.

Exposure to financial datasets and controls (PII handling, encryption, masking).

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 $135,000-$150,000 a year

Qualifications: BACHELOR OF COMPUTER SCIENCE