Senior Databricks Developer
3 weeks ago
We are looking for an experienced Senior Databricks Developer to join our team at AzimuthGRC Technologies India Private Limited.
This is a fantastic opportunity to work with a talented team of data professionals and contribute to the design and implementation of large-scale data solutions in Databricks.
As a Senior Databricks Developer, you will play a crucial role in conceptualizing and communicating data architecture strategy, technical design, and technology roadmap for data platform solutions and services.
Key Responsibilities- Lead design and development of data architecture to support implementation of large-scale data solutions in Databricks to support multiple use cases (delta lake, cloud Datawarehouse migrations, reporting and analytics).
- Guiding the organization and development teams on the overall data processes, architectural approaches for data strategy design and implementation.
- Providing data solutions that enable business intelligence data integration, data services, self-service analytics, and data-driven digital products and services.
- Architecting the solutions for Databricks-specific use cases (streaming and batch) as well as integrating it into other solution components in the customer architecture landscape.
- Translating advanced business data, integration and analytics problems into technical approaches that yield actionable recommendations, across multiple, diverse domains.
- Implement architectural improvements for existing solutions using legacy modernization and cloud adoptions strategies.
- 8+ years of experience working with Databricks, Apache Spark, and big data technologies.
- 8 years of experience with Azure Databricks, Azure Data Factory, and Pyspark
- 5 year's experience with Python to extract data from unstructured files, such as XML, PDF, HTML
- Highly proficient in use of Spark and Azure Databricks
- Experience working in Microsoft Azure
- Proven experience in designing and implementing data solutions and ETL pipelines.
- Strong understanding of data architecture, data modeling, and data warehousing concepts.
- Proficiency in Databricks and Spark, including cluster management, job scheduling, and performance tuning.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Hands-on working knowledge of topics such as data security, messaging patterns, ELT, Data wrangling and cloud computing and proficiency in data integration/EAI and DB technologies, sophisticated analytics tools, programming languages or visualization platforms
- Knowledge of the Databricks ecosystem
- Team Management: Experience
- Strong programming skills in languages such as Python, Scala, or SQL.
- Experience with data integration tools and technologies (e.g., Kafka, Delta Lake).
- Knowledge of data governance, security, and compliance best practices
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Advanced degrees or certifications are a plus
We are looking for a highly skilled and motivated individual to join our team. If you have the required experience and skills, please apply with your resume and a cover letter.
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