Job
Description
As a Databricks Developer at our company, you will play a crucial role in handling and optimizing data engineering processes. With 4 to 6 years of relevant experience, including a minimum of 5 years as a Databricks Developer and at least 3 years working with PySpark and AWS, you will be instrumental in developing and maintaining data pipelines using various technologies. Your deep technical knowledge in Databricks, Python, Scala, Microsoft Azure architecture, and platforms like Synapse and ADF will be essential in building scalable data applications and processes. Key Responsibilities: - Hands-on experience in developing data pipelines using Databricks, Synapse, SQL Server, Data Lake, and other database technologies - Implement engineering best practices such as code refactoring, CI/CD, and design patterns for efficient data processing - Develop batch ETL pipelines and explore opportunities for real-time pipelines - Apply advanced data engineering concepts like dimensional modeling, ETL, data governance, and data warehousing for structured and unstructured data - Collaborate with cross-functional teams to support dynamic project environments - Perform root cause analysis on data to derive valuable insights and identify areas for enhancement - Mentor and advise other data professionals on data standards and practices - Drive a culture of knowledge sharing, re-use, and design for operational efficiency in data solutions - Participate in technical architecture development for strategic enterprise projects - Solve complex data challenges to deliver actionable insights for organizational goals - Familiarity with Boomi is a plus - Willingness to work in shifts, including 7 night shifts per month due to the 24*7 production support project Qualifications required: - Proficiency in Databricks, PySpark, AWS, Python, and SQL - Experience in CI/CD processes and ETL development Please note that our hiring process includes: - Screening (HR Round) - Technical Round 1 - Technical Round 2 - Final HR Round Join us in this exciting opportunity to make a significant impact on our data engineering capabilities and drive insights for achieving organizational objectives. As a Databricks Developer at our company, you will play a crucial role in handling and optimizing data engineering processes. With 4 to 6 years of relevant experience, including a minimum of 5 years as a Databricks Developer and at least 3 years working with PySpark and AWS, you will be instrumental in developing and maintaining data pipelines using various technologies. Your deep technical knowledge in Databricks, Python, Scala, Microsoft Azure architecture, and platforms like Synapse and ADF will be essential in building scalable data applications and processes. Key Responsibilities: - Hands-on experience in developing data pipelines using Databricks, Synapse, SQL Server, Data Lake, and other database technologies - Implement engineering best practices such as code refactoring, CI/CD, and design patterns for efficient data processing - Develop batch ETL pipelines and explore opportunities for real-time pipelines - Apply advanced data engineering concepts like dimensional modeling, ETL, data governance, and data warehousing for structured and unstructured data - Collaborate with cross-functional teams to support dynamic project environments - Perform root cause analysis on data to derive valuable insights and identify areas for enhancement - Mentor and advise other data professionals on data standards and practices - Drive a culture of knowledge sharing, re-use, and design for operational efficiency in data solutions - Participate in technical architecture development for strategic enterprise projects - Solve complex data challenges to deliver actionable insights for organizational goals - Familiarity with Boomi is a plus - Willingness to work in shifts, including 7 night shifts per month due to the 24*7 production support project Qualifications required: - Proficiency in Databricks, PySpark, AWS, Python, and SQL - Experience in CI/CD processes and ETL development Please note that our hiring process includes: - Screening (HR Round) - Technical Round 1 - Technical Round 2 - Final HR Round Join us in this exciting opportunity to make a significant impact on our data engineering capabilities and drive insights for achieving organizational objectives.
