Required Sr Databricks Engineer - REMOTE

Job Posting Title: Databricks Data Engineer - REMOTE

NS Job Title: Data Engineer

Experience: 12 years

Position Summary

Seeking an experienced Databricks Engineer to support the modernization of our enterprise data platform as part of our cloud transformation journey. The ideal candidate will design, develop, and optimize scalable data solutions on the Databricks Lakehouse Platform while enabling advanced analytics, AI/ML initiatives, and enterprise-wide data products.

This role will work closely with Data Architects, Data Scientists, Business Intelligence teams, and business stakeholders to deliver high-quality, governed, and reusable data assets supporting Operations, Transportation, Finance, Asset Management, Safety, and Corporate Services.

Key Responsibilities

Data Engineering & Development

  • Design, build, and maintain scalable data pipelines using Databricks, PySpark, and Spark SQL.
  • Develop ETL/ELT processes that ingest, transform, and curate large-scale structured and unstructured datasets.
  • Implement and support Medallion Architecture (Bronze, Silver, Gold layers).
  • Develop Delta Lake-based solutions with optimized performance and data quality controls.
  • Build batch and near real-time data processing solutions leveraging Spark Streaming and Kafka.
  • Create reusable frameworks and automation for data ingestion, monitoring, and orchestration.
Databricks Platform Management
  • Develop and maintain Databricks notebooks, workflows, jobs, and clusters.
  • Implement and manage Unity Catalog, access controls, and data governance standards.
  • Configure Delta Live Tables (DLT) and streaming pipelines.
  • Support environment promotion across Dev, QA, UAT, and Production.
  • Collaborate with platform teams on performance tuning and cost optimization initiatives.
Cloud & Integration
  • Integrate data from multiple enterprise sources including:
    • SAP
    • Teradata
    • Mainframe
    • DB2
    • SQL Server
    • Oracle
    • Tibco
    • Kafka
    • REST APIs
  • Design and implement cloud-native integrations supporting client data modernization strategy.
  • Work with Azure and AWS cloud services supporting Databricks workloads.
Data Quality & Governance
  • Implement data validation, reconciliation, and monitoring controls.
  • Develop automated data quality frameworks and exception handling.
  • Support data lineage, metadata management, and governance initiatives.
  • Ensure compliance with enterprise security and regulatory requirements.
Collaboration & Leadership
  • Engage with business teams to understand analytics requirements and translate them into scalable technical solutions.
  • Work closely with Data Scientists and BI developers to enable advanced analytics and reporting.
  • Mentor junior data engineers and establish engineering best practices.
  • Participate in Agile ceremonies and contribute to solution design discussions.
Required Qualifications{

Experience: 7 years.

Technical Skills

· Databricks

  • Databricks Workspaces
  • Databricks Notebooks
  • Databricks Jobs & Workflows
  • Delta Lake
  • Delta Live Tables (DLT)
  • Unity Catalog
  • Databricks SQL
  • Databricks Asset Bundles (preferred)
Data Engineering
  • PySpark
  • Spark SQL
  • Python
  • SQL
  • ETL/ELT Development
  • Data Modeling
  • Data Warehousing Concepts
Streaming & Messaging
  • Apache Kafka
  • Spark Streaming
  • Event-driven Architectures
Cloud Platforms
  • Azure Databricks
  • Azure Data Factory
  • ADLS Gen2
  • Azure Key Vault
  • AWS S3
  • IAM
  • Cloud Data Services
Databases
  • Teradata
  • SQL Server
  • Oracle
  • DB2
  • BigQuery (preferred)
  • Snowflake (preferred)
DevOps
  • Git
  • CI/CD Pipelines
  • Azure DevOps
  • GitHub Actions
  • Infrastructure as Code (preferred)
Preferred Qualifications
  • Databricks Certified Data Engineer Associate or Professional.
  • Azure Data Engineer Associate certification.
  • Experience supporting Large Enterprise Data Modernization programs.
  • Experience migrating workloads from Teradata or legacy platforms to Databricks.
  • Familiarity with SAP Datasphere, SAP BW, or SAP BDC integrations.
  • Exposure to AI/ML workloads and feature engineering on Databricks.
Soft Skills
  • Strong analytical and problem-solving skills.
  • Ability to communicate technical concepts to business stakeholders.
  • Strong collaboration and teamwork skills.
  • Self-motivated with the ability to work independently.
  • Continuous learning mindset and passion for modern data technologies.
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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...

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