ADA Recruitment Hiring Graduates Freshers for Data Engineer. Very Good Job opportunity for freshers looking to start their career as an engineer. ADA is an AI customer service company based in Toronto, Ontario, that uses AI to help enterprises deliver quality customer service at scale, giving their teams more time to focus on improving their AI agent performance, all while controlling costs and maximizing value. So, below here are the ADA Job description, Eligibility, and details.
Company Name: ADA
Job Role: Data Engineer
Location: Bangalore
Experience: Freshers
Education: Bachelor’s Degree
Batch: Not Mentioned
Last Date: ASAP
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ADA Recruitment Hiring Graduates
Job Description
- Assist in developing and maintaining data connectors and ingestion pipelines for different data sources (APIs, Databases, Files, SaaS tools).
- Work on extracting, transforming, and loading (ETL/ELT) data into the data platform.
- Understand source system schemas, APIs, and data formats (JSON, CSV, relational tables).
- Implement basic data transformations, validations, and checks to ensure data quality and reliability.
- Write clean, maintainable, and testable code under guidance from senior engineers.
- Perform unit testing and basic integration testing of data pipelines and connectors.
- Help in debugging data issues, pipeline failures, and sync issues.
- Contribute to documentation of connectors, pipelines, and operational runbooks.
- Use Git and CI/CD pipelines for code versioning and deployments.
- Follow engineering best practices, coding standards, and data governance guidelines.
- Collaborate with senior data engineers, QA, and product teams.
Eligibility
- Bachelor’s degree in computer science, IT, Engineering, or related field.
- Basic to good knowledge of Python and SQL.
- Basic understanding of Data Engineering concepts: ETL, Data Pipelines, Data Warehousing.
- Familiarity with REST APIs and working with JSON / CSV data.
- Basic understanding of databases (MySQL, Postgres, or similar).
- Awareness of Git / version control systems.
- Willingness to learn debugging, monitoring, and production support for data pipelines.
- Good problem-solving attitude and attention to detail.
- Good communication skills and eagerness to learn.
Important Note While Applying For Jobs:
Please read the job instructions and requirements carefully before applying. If your CV is shortlisted, you will receive all communications from the organization via your registered email address. Keep checking your inbox for details about the next round once your CV has been shortlisted.
How To Apply for ADA Recruitment Hiring Graduates?
Eligible candidates apply for this Drive online by following the below link. All Interview details will be shared via email.
More Details ADA Recruitment Hiring Graduates
Selection and Interview Process at ADA
The interview process at ADA typically comprises three rounds, starting with a Aptitude, technical assessment, proceeding to a HR interview for applicable roles.
1. Recruiter / HR Screening: During this conversation, you can expect questions about your experience, especially related to ETL processes, data pipelines, cloud platforms, and big data technologies. The recruiter may also assess your proficiency in SQL and programming languages such as Python or Scala at a high level. In addition, they will evaluate your communication skills, discuss your career goals, and cover practical details such as your salary expectations and availability to join.
2. Technical Round: In this round, you can expect to be tested on your ability to write and optimize SQL queries, including handling complex joins across multiple tables, using window functions for advanced analytics, performing aggregations, and structuring queries with CTEs (Common Table Expressions). Interviewers may also assess your understanding of query performance optimization, such as indexing strategies, partitioning, and efficient query design to handle large datasets.
3. Coding Round: It typically focused on Python or Spark, you can expect to solve practical data transformation problems that reflect real-world data engineering tasks. Interviewers may assess your ability to process and manipulate large datasets efficiently, write clean and optimized functions, and apply best practices in coding. If the role involves big data technologies, you may also be asked to perform transformations using PySpark, including operations such as joins, aggregations, filtering, and handling distributed data effectively.
4. Behavioral / Managerial Interview: In this discussion, interviewers evaluate your ownership mindset, including how you take responsibility for projects and drive them to completion. They may explore how you handle ambiguity, manage shifting priorities, and make decisions with incomplete information. Strong stakeholder communication and the ability to collaborate effectively across teams are also key areas of focus.
Tips for Data Engineer Interview Questions
- Resume and Projects: Be prepared to discuss your projects, internships, and technical experiences in detail. Clearly explain your role, the tools and technologies you used, the challenges you encountered, and the results you achieved. Interviewers value candidates who can articulate complex concepts clearly and demonstrate a strong, practical understanding of their work.
- Behavioral Skills: Be prepared to share examples that demonstrate your problem-solving, communication, and teamwork skills. Structure your responses using the STAR method (Situation, Task, Action, Result) to clearly explain your contributions and the impact of your actions.
Basic Interview Questions
- Tell me about yourself.
- What are your strengths and weaknesses?
- Why do you want to work here?
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