Databricks Data Engineer

Tata Consultancy Services Limited
Deerfield, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 100K

Job location

Deerfield, United States of America

Tech stack

Apache HTTP Server
Azure
Continuous Integration
Data as a Services
Information Engineering
Github
JUnit
Python
Log Analysis
Azure
SonarQube
SQL Databases
Data Logging
Postman
Spark
GIT
PySpark
Integration Tests
Kafka
Cosmos DB
Azure
Spark Streaming
Data Management
Software Version Control
Data Pipelines
Docker
Databricks

Job description

  • Responsible for building data products in Databricks using Scala/Spark
  • Responsible for Ops work managing production for the data products developed and deployed to production
  • Responsible for testing data products based on product specification and end to end validation
  • Set up monitoring, logging, and alerting Spark jobs and data pipelines using Azure Monitor/Log Analytics or similar tools
  • Coordinate with offshore team in India

Requirements

Do you have experience in Version control?, * Mandatory skills: Databricks, Spark, Azure, Python, Cosmos DB, Azure DevOps (GitHub, CI/CD pipelines, Boards etc.), Docker & Azure Kubernetes Service, Graffana, JUnit, Postman, SonarQube

  • Additional Skills: 3-6 years of experience in data engineering on cloud data platforms. Hands-on experience building Spark jobs with Scala/Spark and/or PySpark on Databricks. Experience ingesting data from batch and streaming sources into ADLS Gen2 using Delta or Apache Iceberg tables. Good SQL skills for joins, aggregations, and data quality checks. Understanding of core Azure data services (Event Hubs/Kafka, Data Factory/Databricks Workflows, Key Vault). Experience working with Git-based workflows and CI/CD in Azure DevOps or GitHub.
  • Good to have skills: Exposure to Spark Structured Streaming for near real-time use cases. Experience with data quality tools or frameworks and writing unit/integration tests for data pipelines. Familiarity with data modeling and performance considerations in Lakehouse environments.

Benefits & conditions

3.93.9 out of 5 stars $90,000 - $100,000 a year Pet insurance, Health insurance, Vision insurance, Dental insurance, Commuter assistance Deerfield, IL, * 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-$90,000-$100,000 a year

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