About the Role

We are looking for motivated professionals with 2+ years of experience who are passionate about transitioning their careers into Data Engineering. This opportunity is ideal for candidates from any technical domain who possess strong problem-solving skills, cloud knowledge, and a genuine interest in building scalable data solutions.

Candidates looking for a domain change into Data Engineering are highly preferred.

Key Responsibilities

- Learn and work on modern Data Engineering technologies and best practices.
- Design, develop, and maintain scalable data pipelines.
- Build ETL/ELT workflows for structured and unstructured data.
- Integrate data from multiple sources into cloud-based data platforms.
- Ensure data quality, integrity, and reliability across data pipelines.
- Collaborate with cross-functional teams including Data Scientists, Analysts, and Software Engineers.
- Optimize data processing workflows for performance and scalability.
- Participate in code reviews, testing, deployment, and production support.

Required Skills

- 2+ years of professional experience in any technical domain.
- Knowledge of at least one cloud platform:
- AWS
- Microsoft Azure
- Google Cloud Platform (GCP)
- Strong programming knowledge in Python, Java, or Scala is preferred.
- Good understanding of SQL and relational databases.
- Basic understanding of ETL concepts and data warehousing.




- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Willingness to build a long-term career in Data Engineering.

Preferred Candidate Profile

- Candidates seeking a career transition into Data Engineering.
- Certification in Data Engineering or an equivalent cloud/data platform certification.
- Exposure to cloud services on AWS, Azure, or GCP.
- Eagerness to learn Big Data technologies, ETL tools, Spark, Databricks, and contemporary data platforms.
- Ability to quickly adapt to new technologies and business domains.
- Passion for working with large-scale data systems.

Qualification

- B.E. / B.Tech (Mandatory) - 2024 or earlier graduates
- Certification in Data Engineering or a related field is mandatory/preferred (e.g., AWS, Microsoft Azure, Google Cloud, Databricks, or equivalent Data Engineering certifications).

Training & Bond Details

- 4 Months On-the-Job Training (OJT)
- Mandatory 2 Years Service Agreement / Bond

What We Offer

- Structured learning and mentorship in Data Engineering.
- Opportunity to work on cloud-native data platforms.
- Exposure to enterprise-scale data projects.
- Career growth in one of the fastest-growing technology domains.
- Collaborative and learning-focused work environment.

Pay: ₹400,000.00 - ₹500,000.00 per year

Work Location: In person

📌 Data Engineer (India)
🏢 Shyena Tech Yarns
📍 India