Welcome to Infosys! We are a leading global technology consulting and services company, committed to helping our clients achieve their digital transformation goals. We are currently seeking a talented and experienced Azure Databricks Developer to join our team. As an integral member of our Data and Analytics practice, you will have the opportunity to work on cutting-edge projects and help our clients harness the power of Azure Databricks for their data analytics needs. If you are passionate about data, have a strong understanding of the Azure ecosystem, and possess excellent technical skills, we would love to hear from you.
- Develop and maintain data pipelines using Azure Databricks to support various data analytics projects for clients.
- Collaborate with cross-functional teams to understand business requirements and design efficient and scalable solutions using Azure Databricks.
- Design, develop, and test code for data transformations, data ingestion, and data quality processes on Azure Databricks platform.
- Troubleshoot and debug issues related to data pipelines and provide timely resolutions to ensure smooth functioning.
- Ensure compliance with coding standards and best practices while writing code for Azure Databricks.
- Conduct performance tuning and optimization of data pipelines to improve efficiency and reduce processing time.
- Stay updated with the latest trends and advancements in the Azure ecosystem and implement them in data analytics projects.
- Provide technical guidance and mentorship to junior team members on Azure Databricks development and best practices.
- Collaborate with project managers and other stakeholders to provide accurate estimates and deliver projects within agreed timelines.
- Communicate effectively with clients to understand their business needs and provide technical solutions using Azure Databricks.
- Proactively identify potential risks and issues in data analytics projects and provide recommendations for mitigation.
- Participate in code reviews and provide constructive feedback to maintain code quality and consistency.
- Document technical specifications, processes, and procedures related to Azure Databricks development.
- Continuously improve data engineering processes and frameworks to enhance the overall performance and efficiency of data pipelines.
- Adhere to Infosys' policies and procedures and maintain a high level of professionalism while representing the company.
Proficiency In Azure Databricks: The Candidate Should Have A Strong Understanding Of Azure Databricks And Its Various Components Such As Clusters, Notebooks, Jobs, And Libraries.
Experience With Big Data Technologies: The Candidate Should Have Hands-On Experience With Big Data Technologies Such As Hadoop, Spark, And Sql To Develop And Manage Data Pipelines.
Strong Programming Skills: The Candidate Should Be Proficient In Programming Languages Such As Python, Scala, Or Java To Write Efficient Code For Data Processing And Analysis.
Data Engineering Skills: The Candidate Should Have A Good Understanding Of Data Engineering Principles And Practices To Design And Implement Scalable And Reliable Data Solutions.
Cloud Computing Knowledge: The Candidate Should Have A Good Understanding Of Cloud Computing Concepts And Experience Working With Cloud Platforms Such As Azure To Deploy And Manage Data Solutions On The Cloud.
Data Analysis
Big Data
Data Modeling
Machine Learning
Data warehousing
Data Visualization
Cloud Computing
ETL Development
Python programming
SQL querying
Spark Development
Communication
Conflict Resolution
Leadership
Time management
Interpersonal Skills
creativity
flexibility
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Azure Databricks Developer in Hartford, CT, USA is $110,000 - $150,000 per year. This can vary depending on factors such as experience, skills, and employer.
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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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