About the Role

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.
- 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 modern 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.
- Prospect to work on cloud-native data plat

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