Appen Off Campus Hiring | For Senior Data Engineer Post

Appen Off Campus 2025:

Appen Career 2025 Responsibilities:

• Design, build, and manage large-scale data infrastructures using a variety of AWS technologies such as Amazon Redshift, AWS Glue, Amazon Athena, AWS Data Pipeline, Amazon Kinesis, Amazon EMR, and Amazon RDS.
• Design, develop, and maintain scalable data pipelines and architectures on Databricks using tools such as Delta Lake, Unity Catalog, and Apache Spark (Python or Scala), or similar technologies.
• Integrate Databricks with cloud platforms like AWS to ensure smooth and secure data flow across systems.
• Build and automate CI/CD pipelines for deploying, testing, and monitoring Databricks workflows and data jobs.
• Continuously optimize data workflows for performance, reliability, and security, applying Databricks best practices around data governance and quality.
• Ensure the performance, availability, and security of datasets across the organization, utilizing AWS’s robust suite of tools for data management.
• Collaborate with data scientists, software engineers, product managers, and other key stakeholders to develop data-driven solutions and models.
• Translate complex functional and technical requirements into detailed design proposals and implement them.
• Mentor junior and mid-level data engineers, fostering a culture of continuous learning and improvement within the team.
• Identify, troubleshoot, and resolve complex data-related issues.
• Champion best practices in data management, ensuring the cleanliness, integrity, and accessibility of our data.
• Optimize and fine-tune data queries and processes for performance. Evaluate and advise on technological components, such as software, hardware, and networking capabilities, for database management systems and infrastructure.
• Stay informed on the latest industry trends and technologies to ensure our data infrastructure is modern and robust.

Appen off campus Eligibility Criteria:

• Bachelor’s Degree in Computer Science, Information Systems, or a related field. A Master’s Degree is preferred.
• 5-7 years of hands-on experience with AWS data engineering technologies, such as Amazon Redshift, AWS Glue, AWS Data Pipeline, Amazon Kinesis, Amazon RDS, and Apache Airflow.

Preferred skill:

• Hands-on experience working with Databricks, including Delta Lake, Apache Spark (Python or Scala), and Unity Catalog.
• Demonstrated proficiency in SQL and NoSQL databases, ETL tools, and data pipeline workflows.
• Experience with Python, and/or Java.
• Deep understanding of data structures, data modeling, and software architecture.
• Experience with AI and machine learning technologies is highly desirable.
• Strong problem-solving skills and attention to detail.
• Self-motivated and able to work independently, with excellent organizational and multitasking skills.
• Exceptional communication skills, with the ability to explain complex data concepts to non-technical stakeholders

Click here for HR Interview Questions and Answers

Appen Recruitment Selection Process:

The selection process is a structured series of stages designed to identify and hire the most suitable candidates for various roles within the company. Here is an overview of the typical selection process:

1. Online Application: The process begins with candidates submitting their applications through the official careers website
2. Resume Screening: The Company’s recruitment team reviews the applications and resumes to assess whether candidates meet the basic qualifications and requirements for the position.
3. Online Assessments: Depending on the role, candidates may be required to complete online assessments or tests to evaluate their technical skills, knowledge, and problem-solving abilities.
4. Technical Interviews: For technical positions, candidates typically participate in one or more technical interviews.
5. Offer: Candidates who successfully complete all interview stages and reference checks will receive a formal job offer.
6. Background Check: Candidates who accept the offer may undergo a background check as part of the final hiring process.
7. Onboarding: After accepting the offer and completing all pre-employment checks, candidates will participate in the onboarding process. This includes orientation, training, and integration into the team.

Please note that the specific details of the selection process may vary based on the role, location, and the hiring team’s preferences. It’s essential for candidates to carefully review the job description and follow any instructions provided during the application process. Preparation for technical interviews and assessments is crucial to excel in the selection process.

Why Join Appen?

• Learning & development budget
• Remote work culture
• High-impact projects & mentorship
• Annual retreats and offsites