Databricks Developer//ETL

Key Responsibilities:
•           Design, develop, and maintain robust ETL pipelines using Databricks and Apache Spark.
•           Optimize big data workflows to improve performance and reduce processing times.
•           Architect and implement scalable data solutions on cloud platforms
•           Ensure data quality and governance by implementing best practices and frameworks.
•           Mentor and guide junior engineers, providing technical leadership and support.
•           Participate in code reviews and contribute to the continuous improvement of development processes.

Required Skills and Qualifications:
•           Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
•           5+ years of experience in data engineering, with a focus on Databricks and Apache Spark.
•           Proficiency in programming languages such as Python and SQL.
•           Strong understanding of cloud platforms and tools, particularly AWS, Databricks,.
•           Experience with data warehousing, ETL pipelines, and data orchestration.
•           Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
•           Strong communication and interpersonal skills.
•           Experience with Git.
Preferred Qualifications:
•           Experience with real-time data ingestion and streaming using tools like Apache Kafka.
•           Knowledge of machine learning frameworks and model deployment strategies.
•           Experience with CI/CD pipelines and agile development methodologies.
•           Familiarity with data visualization tools such as Power BI , Tableau.