Databricks lead

1 day ago

Bengaluru, Karnataka, India Recro Full time ₹ 15,00,000 - ₹ 20,00,000 per year

Designation - Databricks lead

Experience - 8+ Years

Key Responsibilities


• Lead the design and implementation ofscalable data pipelines and ETL processes on Databricks.


• Architect and optimize big data and analyticssolutions using Spark, Delta Lake, and MLflow.


• Collaborate with stakeholders to translate businessrequirementsinto technical solutions.


• Oversee the migration of on-premises data systemsto Databricks cloud environments.


• Drive best practicesin data governance, security, and performance optimization.


• Provide technical leadership, mentorship, and support to data engineering teams.


• Work closely with data scientiststo productionize machine learning models.


• Establish monitoring, logging, and automated testing for data pipelines.


• Ensure compliance with industry standards,security protocols, and regulatory requirements.


• Evaluate new featuresin Databricks and recommend adoption strategies.

Required Skills & Qualifications


• Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.


• 8+ years of experience in data engineering, with 3+ years in Databricks.


• Strong expertise in Apache Spark, PySpark, SQL, and Delta Lake.


• Proven experience with Databricks on Azure, AWS, or GCP.


• Hands-on experience in designing large-scale ETL/ELT workflows.


• Proficiency in cloud storage (S3, ADLS, GCS) and data warehousing solutions (Snowflake, Redshift,

Synapse, BigQuery).


• Strong knowledge of DevOps, CI/CD, and Infrastructure as Code (Terraform/CloudFormation).


• Experience in MLflow, feature engineering, and integrating machine learning pipelines.


• Excellent communication, leadership, and stakeholder managementskills.


• Databricks certification(s) such as Databricks Certified Data Engineer Professional or Databricks

Certified Machine Learning Professional preferred.

Preferred Skills


• Experience with streaming technologies(Kafka, Event Hubs, Kinesis).


• Knowledge of data governance frameworks(Collibra, Purview).


• Familiarity with BI/visualization tools(Power BI, Tableau, Looker).

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