Architect

Incedo

$120K — $150K *
Enterprise Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 13-15 years of relevant work experience
  • B.Tech/B.E/M.Tech or MCA degree from a reputed university
  • Preference for candidates with a computer science background
  • Strong knowledge of programming languages: Python, Scala, Java, and SQL
  • Experience with cloud computing platforms: AWS or Azure

Responsibilities

  • Design and deploy cloud-based data platforms using Databricks
  • Integrate and process large volumes of structured and unstructured data
  • Manage and optimize Spark clusters for data processing efficiency
  • Implement and maintain data pipelines and ETL processes
  • Troubleshoot and resolve issues in the data platform
  • Collaborate with data scientists and analysts for insights and solutions
  • Foster a collaborative work environment and promote teamwork

Benefits

  • Flexible working hours
  • Opportunities for professional development
  • Work in a collaborative team environment
  • Access to the latest technologies and tools
  • Health and wellness benefits
Full Job Description
Role Description

Role Description:
As a Senior Principle Engineer - Cloud Data Platform (Databricks) at Incedo, you will be responsible for managing and optimizing the Databricks environment, ensuring its performance, scalability, and security. You will work closely with data analysts and data scientists to develop data pipelines and run data science experiments. You will be skilled in big data technologies such as Spark and have experience with cloud computing platforms such as AWS or Azure. You will be responsible for configuring and optimizing the Databricks environment, ensuring that data pipelines are efficient and accurate, and troubleshooting any issues that arise. You will also work with the security team to ensure that the Databricks environment is secure and complies with relevant regulations.

Roles & Responsibilities:
• Designing, developing and deploying cloud-based data platforms using Databricks
• Integrating and processing large amounts of structured and unstructured data from various sources
• Managing and optimizing Spark clusters for efficient data processing
• Implementing and maintaining data pipelines and ETL processes
• Troubleshooting and resolving data platform issues
• Collaborating with data scientists and analysts to deliver insights and solutions
• Foster a collaborative and supportive work environment, promoting open communication and teamwork.
• Demonstrate strong leadership skills, with the ability to inspire and motivate team members to perform at their best.

Technical Skills

Skills Requirements:

  • Proficiency in Databricks platform, including Databricks Runtime, Databricks Delta, and Databricks MLflow
  • Experience in building scalable and reliable data pipelines using Databricks, Spark, and related big data technologies
  • Familiarity with cloud-based infrastructure and deployment, specifically on Azure or AWS
  • Strong knowledge of programming languages such as Python, Scala, Java, and SQL


Nice-to-have skills

Qualifications

Qualifications

  • 13-15 years of work experience in relevant field
  • B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred


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