- Proficiency in programming languages such as Python and SQL.
- Looking for Google Cloud Platform skill sets - Google Dataflow, Google Dataform, Google SQL (BigQuery)
- Experience with data engineering tools and technologies (e.g., Apache Spark,Hadoop, Airflow, Kafka).
- Knowledge of data modeling techniques and database technologies (SQL and NoSQL).
- Good problem-solving analytical and debugging skills with team-oriented approach to finding solutions.
- Strong communication and collaboration skills, with the ability to effectively interact with cross-functional team members.
- Ability to work independently on assigned tasks and contribute actively as a valued member of a self-organizing team. Experience Required:

- Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, or a related field (or equivalent practical experience).
- Minimum of 2+ years of experience in data engineering.

Roles &

Responsibilities

- Develop and support defined data pipelines or ETL processes with limited oversight.




- Participate in agile ceremonies to contribute to effective sprint planning transparent communication and the successful delivery of sprint goals.
- Test own work with limited oversight to ensure accuracy reliability and performance.
- Work closely with product owners and other cross-functional team members to deeply understand user stories and deliver valuable solutions in alignment with sprint goals.
- Contribute to data modeling, data architecture, and data governance initiatives.
- Implement data quality checks and monitoring for data pipelines.
- Collaborate with data scientists, analysts, and other stakeholders to understand requirements and deliver solutions.
- Contribute to the continuous improvement of development processes and tools through active participation in tea retrospectives and feedback loops.

📌 GCP Data Engineer (Pune)
🏢 InfoVision
📍 Pune