Databricks Data Engineer - Lakehouse & MLOps

Tata Consultancy Services

New York (NY)

On-site

USD 130,000 - 150,000

Full time

31 hours ago
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Benefits offered by this job

Discretionary incentive
Medical coverage
Dental & Vision
Parental leave
401K plan
Certification reimbursement
Commuter benefits
Vacation & holidays

Job summary

Tata Consultancy Services in United States is seeking an experienced data engineer/architect to design end-to-end data pipelines, lakehouse patterns, and ETL/ELT processes using Apache Spark, Delta Lake, and Python or SQL.

You will optimize performance, manage ML workflows with MLflow and Unity Catalog, and collaborate with data scientists and engineers to translate business needs into scalable, technical solutions.

Qualifications

  • 5 to 10+ years in data engineering, software development, or solution architecture.
  • Hands-on Databricks production experience.
  • Strong proficiency in Python, SQL, or Scala.
  • Deep knowledge of Apache Spark runtime internals and Delta Lake.
  • Working knowledge of cloud platforms (Azure, AWS, or GCP).
  • Databricks Certified Data Engineer or Solutions Architect credentials preferred.

Responsibilities

  • Design end-to-end data pipelines, ETL/ELT processes, and lakehouse storage patterns using Spark, Delta Lake, and Python or SQL.
  • Optimize cluster sizing, query execution, shuffles, partitions, and storage layouts for large-scale data workflows.
  • Implement MLOps workflows, manage model lifecycles, or deploy generative AI and vector search solutions using MLflow and Unity Catalog.
  • Partner with enterprise stakeholders, data scientists, and software engineers to translate business requirements into technical solutions.
  • Oversee security configurations, access controls, workspace administration, and CI/CD deployment pipelines.

Skills

Databricks production experience
Python
SQL
Scala
Apache Spark
Delta Lake
Cloud platforms (Azure/AWS/GCP)
MLflow
Unity Catalog

Education

Bachelor of Computer Science

Tools

Delta Lake
MLflow
Unity Catalog

Job description

Tata Consultancy Services in United States is seeking an experienced data engineer/architect to design end-to-end data pipelines, lakehouse patterns, and ETL/ELT processes using Apache Spark, Delta Lake, and Python or SQL.

You will optimize performance, manage ML workflows with MLflow and Unity Catalog, and collaborate with data scientists and engineers to translate business needs into scalable, technical solutions.

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