Description

Technical

- Min of 3 years exp as Data engineer with exposure to min of 1 ETL tool and knowledge of developing Data pipelines on cloud ecosystem
- Experience in Extracting data from heterogeneous sources, including databases, CRM systems, flat files, web services, etc.
- Knowledge of Data warehousing concept and how data moving from one layer to another till visualization layer.
- Transforming the extracted data involves cleaning, aggregating, mapping, and converting it to ensure it meets the business requirements and is in a suitable format for analysis.
- Experience in Design, implement, and continuously expand data pipelines by performing extraction, transformation, and loading activities.
- Good SQL knowledge (query performance tuning, index maintenance, etc.) as well as an understanding of database structure
- Knowledge of SQL language and cloud-based technologies
- Experience in developing ETL pipelines in Snowflake Datawarehouse on cloud.
- Performance tuning and setting up resource monitors.
- SQL performance measuring, query tuning,



and database tuning
- Coding knowledge in languages like Python is an added advantage.
- Knowledge of working in AWS cloud ecosystem.

.

Behavioral :

- Strong communication skills
- Self Starter, with strong confidence level
- Flexible in thought and creative in approach to testing
- Solid understanding of databases and systems and the ability to communicate effectively across groups
- Interact effectively with peers to resolve issues
- Ability to deal with ambiguity
- Promotes positive and professional work setting

The Skills that are Good To Have for this role

- Experience in ETL Test automation tools is added advantage.
- Experience in PYTHON scripting knowledge
- Experience in Agile methodologies and best practices.

The Expertise We’re Looking For

- 3 to 5 years of relevant experience.
- Bachelor’s / Master’s Degree (e.g., Computer Science, Engineering)

Location: Bangalore

📌 Data Engineer - Snowflake - BLR (India)
🏢 Photon Group
📍 India