Apply for Databricks Developer Job

4 to 6 Years Relevant Experience

• Minimum 5 years + working exp as Databricks Developer
• Minimum 3 years + working exp on PySpark and AWS
• 5+ years relevant and progressive data engineering experience
• Deep Technical knowledge and experience in Databricks, Python, Scala, Microsoft Azure architecture and platform including Synapse, ADF (Azure Data Factory) pipelines and Synapse stored procedures
• Hands-on experience working with data pipelines using a variety of source and target locations (e.g., Databricks, Synapse, SQL Server, Data Lake, file-based, SQL and No-SQL database)
• Experience in engineering practices such as development, code refactoring, and leveraging design patterns, CI/CD, and building highly scalable data applications and processes
• Experience developing batch ETL pipelines; real-time pipelines are a plus
• Knowledge of advanced data engineering concepts such as dimensional modeling, ETL, data governance, data warehousing involving structured and unstructured data
• Thorough knowledge of Synapse and SQL Server including T-SQL and stored procedures
• Experience working with and supporting cross-functional teams in a dynamic environment
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Advise, consult, mentor and coach other data and analytic professionals on data standards and practices
• Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytic solutions
• Develop and deliver documentation on data engineering capabilities, standards, and processes; participate in coaching, mentoring, design reviews and code reviews
• Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
• Solve complex data problems to deliver insights that helps the organization achieve its goals
• Knowledge and understanding of Boomi is a plus
• As it is 24*7 production support project, Resource should willing to work in shifts and 7 night shifts in a month