Shyftlabs
Shyftlabs2d ago
New

Databricks Engineer

Noida, Uttar PradeshFull-Timemid
OtherEngineer
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Quick Summary

Overview

Position Overview: ShyftLabs is seeking a skilled Databricks Engineer to support in designing, developing, and optimizing big data solutions using the Databricks Unified Analytics Platform. This role requires strong expertise in Apache Spark, SQL, Python, and cloud platforms (AWS/Azure/GCP).

Technical Tools
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Position Overview:
ShyftLabs is seeking a skilled Databricks Engineer to support in designing, developing, and optimizing big data solutions using the Databricks Unified Analytics Platform. This role requires strong expertise in Apache Spark, SQL, Python, and cloud platforms (AWS/Azure/GCP). The ideal candidate will collaborate with cross-functional teams to drive data-driven insights and ensure scalable, high-performance data architectures.
 
ShyftLabs is a growing data product company that was founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.
  • Design, implement, and optimize big data pipelines in Databricks.
  • Develop scalable ETL workflows to process large datasets.
  • Leverage Apache Spark for distributed data processing and real-time analytics.
  • Implement data governance, security policies, and compliance standards.
  • Optimize data lakehouse architectures for performance and cost-efficiency.
  • Collaborate with data scientists, analysts, and engineers to enable advanced AI/ML workflows.
  • Monitor and troubleshoot Databricks clusters, jobs, and performance bottlenecks.
  • Automate workflows using CI/CD pipelines and infrastructure-as-code practices.
  • Ensure data integrity, quality, and reliability in all pipelines.
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
  • 5+ years of hands-on experience with Databricks and Apache Spark.
  • Proficiency in SQL, Python, or Scala for data processing and analysis.
  • Experience with cloud platforms (AWS, Azure, or GCP) for data engineering.
  • Strong knowledge of ETL frameworks, data lakes, and Delta Lake architecture.
  • Experience with CI/CD tools and DevOps best practices.
  • Familiarity with data security, compliance, and governance best practices.
  • Strong problem-solving and analytical skills with an ability to work in a fast-paced environment.
  • Databricks certifications (e.g., Databricks Certified Data Engineer, Spark Developer).
  • Hands-on experience with MLflow, Feature Store, or Databricks SQL.
  • Exposure to Kubernetes, Docker, and Terraform.
  • Experience with streaming data architectures (Kafka, Kinesis, etc.).
  • Strong understanding of business intelligence and reporting tools (Power BI, Tableau, Looker).
  • Prior experience working with retail, e-commerce, or ad-tech data platforms.
  • Location & Eligibility

    Where is the job
    Location terms not specified
    Who can apply
    Same as job location

    Listing Details

    Posted
    May 6, 2026
    First seen
    May 6, 2026
    Last seen
    May 8, 2026

    Posting Health

    Days active
    0
    Repost count
    0
    Trust Level
    70%
    Scored at
    May 6, 2026

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    Shyftlabs
    Employees
    125
    Founded
    2018
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    ShyftlabsDatabricks Engineer