Databricks Developer ( Spark , PySpark ) | Remote

Title: Databricks Developer

• Experience: 7 + yrs exp
• Position Type : Contract
• Location : Remote
• Must Have Skill : Spark , Pyspark ,Python ,Data Bricks

We are seeking a skilled Databricks Developer to join our team .

As a Databricks Developer, you will be responsible for designing, building, and maintaining data pipelines and analytics solutions using the Databricks platform.

You will collaborate with cross-functional teams to analyze data requirements, develop data models, and implement solutions that drive insights and decision-making.

Responsibilities:

• Design and develop data pipelines and ETL processes using Databricks to ingest, process, and transform large volumes of data.
• Implement data lake architecture and data modeling best practices using Databricks Delta Lake.
• Collaborate with data scientists and analysts to deploy machine learning models and perform advanced analytics on Databricks.
• Optimize and tune Databricks jobs and Spark applications for performance and scalability.
• Implement security controls and data governance policies to ensure compliance and data integrity within the Databricks environment.
• Develop monitoring and alerting solutions to proactively identify and address issues in Databricks clusters and jobs.
• Stay up-to-date with the latest developments in Databricks and big data technologies, and evaluate new tools and techniques to enhance our data platform.

Requirements:

• Bachelor s degree in computer science, Engineering, or related field.
• Proven experience as a Databricks Developer or similar role, with hands-on experience in designing and building data solutions using Databricks.
• Proficiency in Apache Spark and Scala or Python programming languages.
• Experience with data lake architecture, data modeling, and ETL processes.
• Strong understanding of distributed computing principles and big data technologies.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and collaboration skills, with the ability to work effectively in a team environment.

Preferred Qualifications:

• Experience with other big data technologies such as Hadoop, Kafka, or Apache Flink.
• Certifications in Databricks or related technologies.
• Experience with containerization technologies such as Docker and Kubernetes.
• Knowledge of SQL and relational databases.
• Contributions to open-source projects or active participation in the developer community.