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.
Solid 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 up-to-date data platforms.
Ability to quickly adapt to recent 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 plat

📌 Data Engineer Pune
🏢 Shyena Tech Yarns
📍 Pune