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 qualified experience in any technical domain.
Knowledge of at least one cloud platform:
AWS
Microsoft Azure Google
Cloud Platform (GCP)




Robust 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.

Qualification
B.E. / B.Tech (Mandatory)
Minimum 75% throughout academics (10th, 12th, and Graduation)
Certification in Data Engineering or a related field is mandatory/preferred (e.g., AWS, Microsoft Azure, Google Cloud, Databricks, or equivalent Data Engineering certifications).

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 modern data platforms.
Ability to quickly adapt to recent technologies and business domains.
Passion for working with large-scale data systems.

Work Location: In person

📌 Data Engineer Pune
🏢 Shyena Tech Yarns
📍 Pune