
Databricks Developer
2 days ago
Job Title:
Databricks Developer
Location:
Bangalore, Chennai, Hyderabad, Pune
Experience:
5–7 Years
About the Role
We are seeking an experienced
Databricks Developer
with 5–7 years of expertise in Big Data engineering and analytics platforms. The ideal candidate will have strong hands-on experience in
Apache Spark, Databricks, PySpark
, and cloud platforms such as
Azure or AWS
. The role requires a solid background in building scalable
data pipelines, performance optimization, and data governance
.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines using
Apache Spark on Databricks
. - Write efficient and production-ready
PySpark or Scala code
for data transformation and ETL processes. - Integrate data from various structured and unstructured sources into a unified platform.
- Implement
Delta Lake
and manage data versioning, updates, and schema evolution. - Optimize data workflows for
performance, scalability, and cost efficiency
. - Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality datasets.
- Implement
data quality checks, validation routines, and logging mechanisms
. - Monitor, debug, and maintain production jobs using
Databricks jobs, notebooks, and clusters
. - Ensure
security, privacy, and compliance standards
throughout the data lifecycle. - Provide technical guidance and mentorship to junior engineers.
Required Skills & Qualifications
- 5–7 years of experience in
Big Data development
. - Hands-on experience with
Databricks (Workflows, Notebooks, Delta Live Tables, Unity Catalog)
. - Strong programming skills in
PySpark and/or Scala
. - Solid understanding of
Delta Lake architecture
. - Proficiency in
SQL
for data analysis and transformation. - Experience with cloud platforms such as:
- Azure
: Data Lake, Data Factory, Synapse - AWS
: S3, Glue, Redshift - Familiarity with
CI/CD for Databricks deployments
(GitHub Actions, Azure DevOps). - Knowledge of
data governance, cataloguing, and security best practices
. - Experience working in an
Agile/Scrum environment
.
Preferred Skills
- Experience with
Databricks Unity Catalog and Delta Live Tables
. - Exposure to
machine learning workflows
in Databricks. - Experience with orchestration/messaging tools like
Apache Airflow, Kafka
. - Certifications such as:
- Databricks Certified Data Engineer Associate/Professional
- Azure/AWS Certifications
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