If you’re aspiring to build a career as a Data Engineer, this is your chance to work with cutting-edge big data technologies, cloud platforms, and distributed systems. This role is designed for highly motivated graduates and professionals with up to 3 years of experience who are passionate about big data, ETL pipelines, analytics platforms, and data engineering solutions.
Why a Data Engineer Role is in Demand?
The demand for Data Engineers is rapidly growing across industries as companies rely on big data and cloud solutions to make smarter business decisions. A Data Engineer plays a critical role in designing, optimizing, and maintaining scalable data pipelines that fuel business intelligence and AI-driven platforms.
At Zoom, the Information Technology team focuses on delivering data-driven insights, automation, and seamless digital experiences. Joining this team means being part of a culture that values innovation, collaboration, and customer happiness.
Job Overview: Data Engineer (Big Data)
Here’s a detailed breakdown of the role:
| Job Details | Information |
|---|---|
| Job Title | Data Engineer (Big Data) |
| Location | Hybrid (Work from Office + Remote flexibility) |
| Eligibility | Bachelor’s in Computer Science, Data Engineering, or related field |
| Experience | 0–3 years (Freshers with strong skills also welcome) |
| Skills Required | Python, SQL, Spark, Hadoop, Kafka, AWS, Hive, Presto, Parquet, ORC, Flink |
| Employment Type | Full-time |
Key Responsibilities of a Data Engineer
As a Data Engineer, you will:
- Build, optimize, and maintain data pipelines for analytics and business intelligence.
- Work with distributed data processing frameworks like Apache Spark, Flink, and Hadoop.
- Collaborate with engineers and analysts to support data-driven solutions.
- Develop and maintain ETL processes and data warehouse systems.
- Utilize SQL to write complex queries for data analysis.
- Integrate cloud platforms such as AWS, Azure, or GCP.
- Work with Kafka for real-time data streaming.
- Explore AI-powered developer tools like ChatGPT, Perplexity, and Codeium to improve workflows.
Required Skills and Qualifications
To succeed as a Data Engineer, you should have:
- Bachelor’s degree in Computer Science, Data Engineering, or equivalent.
- Strong programming skills in Python and OOP concepts.
- Hands-on knowledge of ETL design, data warehousing, and big data ecosystem tools (Hive, Hadoop, Presto, HDFS).
- Proficiency in SQL for handling structured and unstructured datasets.
- Familiarity with Parquet and ORC file formats.
- Experience with CI/CD pipelines and Linux/Unix shell scripting.
- Problem-solving mindset with the ability to optimize data systems for performance and scalability.
Why Join as a Data Engineer at Zoom?
Zoom is not just a global leader in communication and collaboration technology—it’s also an organization that empowers professionals to grow. As a Data Engineer, you’ll work in a hybrid environment that encourages flexibility, learning, and career advancement.
You will benefit from:
- Competitive salary and perks.
- Exposure to cloud-based big data solutions.
- Opportunities to work with AI-powered tools and automation platforms.
- A supportive and collaborative work culture.
- Health, wellness, and work-life balance benefits.
Future Career Growth as a Data Engineer
Starting your career as a Data Engineer opens doors to various high-demand roles such as:
- Big Data Architect
- Machine Learning Engineer
- Cloud Data Specialist
- Business Intelligence Engineer
- Data Scientist
With continuous learning and hands-on project experience, you can accelerate your career and become a sought-after expert in Big Data and Cloud Engineering.
Conclusion
The Data Engineer role at Zoom is more than just a job—it’s a chance to be part of a mission-driven team that leverages data for innovation and growth. If you have a passion for big data, cloud platforms, Python, SQL, and distributed processing frameworks, this is the right opportunity to start or advance your career.
👉 Apply now and take the next step toward becoming a successful Data Engineer.
