Databricks Engineer
6 days ago
Shift
1pm to 10pm/3 pm to 12 am
Key Responsibilities
- Design, develop, and optimize data pipelines and ETL workflows using Databricks.
- Implement scalable data integration solutions for large datasets across diverse data sources.
- Build and maintain data architectures for real-time and batch processing.
- Collaborate with data scientists, analysts, and stakeholders to ensure the delivery of high-quality data solutions.
- Monitor, troubleshoot, and optimize data workflows for performance and cost-efficiency.
- Ensure data governance, security, and compliance in all processes.
Qualifications
- Should have very clear understanding of Data Lake/Data Warehouse/Lakehouse Concepts
- strong background in data engineering practices, cloud platforms, big data technologies and big data processing frameworks.
- Strong hands-on experience with Databricks, including Spark, Delta Lake
- 3+ Year Hands-on experience on Spark is mandatory using Databricks, Azure/AWS and associated data services.
- 3+ Years Hands-on experience in SQL, Unix & advanced Unix Shell Scripting, Kafka
- Expertise in Python/Java/Scala
- Experience in GIT, SVN, Build Tools like Ant, Maven etc., CI/CD pipelines
- Hands on file transfer mechanism (NDM, sFTP etc)
- Knowledge of Schedulers like airflow, TWS etc.
- Strong problem-solving skills and the ability to work in an agile environment.
Educational Background
- Bachelors or Masters degree in Computer Science, Engineering, or a related field.
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