Data Engineer

4 days ago

Bengaluru, India Novotree Minds Full time

Description :Responsibilities :Data Engineering & Architecture :- Design and implement scalable and optimized data pipelines on Databricks using Delta Lake, PySpark, and SQL.- Develop ETL/ELT frameworks for batch and streaming data processing.- Ensure data quality, governance, and observability using Unity Catalog, Great Expectations, or custom validations.- Optimize Spark jobs for performance, cost, and scalability.Cloud & Infrastructure (Azure/AWS/GCP) :- Deploy and manage Databricks clusters, workspaces, and Jobs.- Work with Terraform or ARM templates for infrastructure automation.- Integrate cloud-native services like Azure Data Factory, AWS Glue, or GCP Cloud Composer.MLOps & CI/CD Automation :- Implement CI/CD pipelines for Databricks notebooks, workflows, and ML models.- Work with MLflow for model tracking and lifecycle management.- Automate data pipelines using Azure DevOps, GitHub Actions, or Jenkins.Leadership & Collaboration :- Lead a team of data engineers, ensuring best practices and code quality.- Collaborate with data scientists, analysts, and business teams to understand requirements.- Conduct performance reviews, technical mentoring, and upskilling sessions.Skills :- Strong hands-on experience in Databricks, Apache Spark (PySpark/Scala), and Delta Lake.- Expertise in SQL, ETL/ELT pipelines, and data modeling.- Experience with Azure, AWS, or GCP cloud platforms.- Knowledge of MLOps, MLflow, and CI/CD best practices.- Experience in workflow orchestration using Databricks Workflows, Airflow, or Prefect.- Understanding of cost optimization, cluster tuning, and performance monitoring in Databricks.- Communication and leadership experience, with experience initiating and driving projects.- Strong stakeholder management and mentoring skills.- Experience with data sets, Hadoop, and data modernisation tools.- Development experience in at least one object-oriented language (Python, Java, etc.). (ref:hirist.tech)

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