Posted:2 weeks ago|
Platform:
Work from Office
Full Time
Role & responsibilities: Technical Skills: 1. Core Databricks Platform: Databricks workspace, clusters, jobs, notebooks, Unity Catalog 2. Big Data Technologies: Apache Spark (PySpark/Scala), Delta Lake, Apache Kafka 3. Programming Languages: Python (advanced), SQL (advanced), Scala (preferred) 4. Cloud Platforms: Azure (preferred) or AWS with Databricks integration 5. Data Pipeline Tools: Apache Airflow, Azure Data Factory, or similar orchestration tools 6. Version Control & CI/CD: Git, Azure DevOps, Jenkins, or GitHub Actions 7. Data Formats & Storage: Parquet, JSON, Avro, Azure Data Lake, S3 8. Monitoring & Observability: Databricks monitoring, custom metrics, alerting systems Leadership & Soft Skills: 1. Strong leadership and people management capabilities 2. Excellent communication skills with ability to explain complex technical concepts 3. Experience with Agile/Scrum methodologies 4. Problem-solving mindset with attention to detail 5. Ability to work in fast-paced, dynamic environments 6. 8+ years of overall experience in data engineering, software engineering, or related technical roles 7. 4+ years of hands-on experience with Databricks/big data platform and Apache Spark 8. 2+ years of team leadership or technical mentoring experience Preferred Qualifications: 1. Databricks certifications (Certified Data Engineer Associate/Professional) 2. Experience with MLOps and machine learning pipeline deployment 3. Knowledge of data mesh or data fabric architectures 4. Experience with streaming data processing using Spark Structured Streaming 5. Background in financial services, healthcare, or retail domains
Mpokket Financial Services
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Financial Services
1001-5000 Employees
6 Jobs
Key People
15.0 - 30.0 Lacs P.A.
Bengaluru
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