Databricks Engineer
ShyftLabs
Apply to this job Noida / Hyderabad hybrid Until 10/3/2026 3+ years exp First posted August 4, 2026 Last posted August 4, 2026
Job description
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.
Job Responsiblities
- 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.
Basic Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
- 3+ 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.
Preferred Qualifications
- 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.
We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.
About this role
Summary
Design and optimize big data pipelines using Databricks, Spark, and cloud platforms.
Job title
Databricks Engineer
Experience level
3+ years
Minimum experience
3+ years exp
Industry
software
Location requirements
Noida / Hyderabad, remote work allowed
Salary
Not specified
Management role
No
Skills & keywords
Required skills
DatabricksApache SparkSQLPythoncloud platforms
Preferred skills
Databricks certificationsMLflowKubernetesKafkabusiness intelligence
Specializations
big datasparkcloud platformsETLdata governance
Locations
Structured locations inferred from the posting.
Noida, Uttar Pradesh, India
Hybrid City
Hyderabad, Telangana, India
Hybrid City