Welcome to Infosys! We are seeking a highly skilled Azure Databricks Developer to join our dynamic team. As an Azure Databricks Developer at Infosys, you will have the opportunity to work on cutting-edge projects and utilize your expertise in data engineering and analytics. We are looking for individuals who are passionate about technology and eager to learn and grow in a fast-paced environment. If you have a strong background in Azure Databricks, hands-on experience with data pipelines and ETL processes, and a drive to deliver high-quality solutions, then we want you on our team! Join us and be a part of our innovative and collaborative culture.
- Develop and maintain data pipelines using Azure Databricks to support various data engineering and analytics projects.
- Collaborate with cross-functional teams to gather requirements, design solutions and implement data pipelines.
- Utilize your expertise in data engineering and analytics to identify and troubleshoot issues in data pipelines.
- Optimize and fine-tune data pipelines for performance and scalability.
- Stay updated with the latest trends and advancements in Azure Databricks and apply them to improve the existing data pipelines.
- Ensure the proper functioning and availability of data pipelines by performing regular maintenance and monitoring.
- Document data pipelines and ETL processes for future reference and knowledge sharing.
- Participate in code reviews and provide constructive feedback to maintain high-quality standards.
- Collaborate with team members to continuously improve processes and deliver high-quality solutions.
- Maintain a strong focus on customer satisfaction and timely delivery of projects.
- Actively contribute to a positive and collaborative team culture, and foster a learning and growth mindset.
- Continuously learn and upskill yourself to stay updated with the latest tools and technologies.
- Communicate effectively with stakeholders to understand their requirements and provide timely updates on project progress.
- Adhere to company policies, standards, and procedures while performing job responsibilities.
Strong Expertise In Azure Databricks: Candidates Should Have A Thorough Understanding Of Azure Databricks And Its Various Components, Including Clusters, Notebooks, Jobs, And Integrations With Other Azure Services.
Proficient In Programming Languages: A Solid Understanding Of Programming Languages Such As Python, Scala, And Sql Is Crucial For An Azure Databricks Developer. Candidates Should Be Able To Write Efficient And Optimized Code To Manipulate And Analyze Large Datasets.
Hands-On Experience With Spark: As Azure Databricks Is Built On Apache Spark, Candidates Should Have A Strong Understanding Of Spark And Its Fundamental Concepts Like Rdds, Dataframes, And Transformations.
Knowledge Of Cloud Computing: Azure Databricks Is A Cloud-Based Data Processing Platform, And Candidates Should Have A Good Understanding Of Cloud Computing Concepts And Experience Working With Other Azure Services.
Problem-Solving And Communication Skills: As An Azure Databricks Developer, Candidates Will Be Required To Identify And Solve Complex Data-Related Problems. They Should Possess Excellent Analytical Skills, Attention To Detail, And Strong Communication Skills To Collaborate With Cross-Functional Teams.
Data Modeling
Machine Learning
Data warehousing
Data Visualization
Cloud Computing
Analytics
Data integration
ETL Development
Python programming
SQL querying
Data
Spark Development
Communication
Conflict Resolution
Leadership
Time management
flexibility
Critical thinking
Teamwork
Adaptability
Problem-Solving
Empathy
According to JobzMall, the average salary range for a Azure Databricks Developer in Austin, TX, USA is $150,000 - $200,000 per year. This can vary depending on factors such as experience, skills, and the specific company or industry the developer works in.
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Infosys Limited is an Indian multinational corporation that provides business consulting, information technology and outsourcing services. It has its headquarters in Bengaluru, Karnataka, India.
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