Looking for a Data Engineer

What would you do?

You will be aligned with our product directly and help us generate insights by leveraging the latest Big Data tools and techniques to deliver value to our clients. You will also help us apply your expertise in building world-class solutions, conquering business problems, and addressing technical challenges using Big Data Platforms and technologies. You will be required to utilize the existing frameworks, standards, and patterns to create the architectural foundation and services necessary for Big data pipelines You also need to have excellent communication skills as the job role also includes contacting Big data experts, exploring new business problems, exploring and creating datasets along with learning on the job. Also, you will be required to look at experts' video explanations, review projects, and make changes as per the process and requirements.

What are we looking for?

We are looking for individuals who have the following skillset:

• Practical experience with Python, Apache Spark, and Hive for data processing and analysis.
• Solid grasp of data warehousing and data modeling techniques for organizing and structuring large datasets.
• Expertise in data engineering using AWS/Azure/Google cloud platforms, including hands-on experience with their storage, computing, and analytics services.
• Proficient in ETL (Extract, Transform, Load) processes and tools for efficient data integration and transformation.
• Hands-on experience with open-source Apache frameworks such as Kafka for real-time data processing, NiFi for ETL, and Spark for data processing.
• Strong problem-solving and analytical skills.
• Hands-on experience with Docker and container orchestration tools.
• Good interpersonal skills with a positive attitude, capable of collaborating with cross-functional teams and effectively communicating complex technical concepts.

Roles And Responsibilities

In this role, you need to

• Collaborate with experts to generate and kick off new projects using the latest Big Data techniques.
• Make sure all projects follow our templates, playbook, and standards.
• Understand user needs and guarantee that code, videos, documentation, and other support materials meet high-quality standards for our users.
• Work closely with industry experts to ensure new projects are released on time.
• Provide support for user queries and implement product changes in the projects.
• Collaborate with engineering and marketing teams to brainstorm innovative approaches to attract and serve users.
• Deliver customer support and automate data engineering pipelines for customer support and success teams.

In today's business environment, growth isn't just about building values fundamental to long-term business survival. ProjectPro is changing how software developers get their work done and learn. We save developers time and money by giving them reusable, solved project solutions. Our company is backed by a missionary management team and leading investors.

At ProjectPro, we are trying to scale and speed up an individual's learning curve along with an organization to take that next step. Reusable data science projects, along with real-world datasets and problems, help our customers learn something new every day in the quickest way possible.

Preferred Candidates: Immediate joiners, Freshers.

You can know more about us at https://www.projectpro.io/