BlueCloud - Snowflake Data Engineer (3-13 yrs)

Overview :

We are seeking a skilled and experienced Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, developing, and maintaining our data architecture and infrastructure. You will work closely with our data analysts, scientists, and business stakeholders to ensure optimal data delivery and support various data-related initiatives.

Key Responsibilities :

- Design, build, and maintain scalable data pipelines and infrastructure to support data extraction, transformation, and loading (ETL) processes.

- Develop and implement efficient data models, schemas, and warehousing solutions to enable quick access to data and insights.

- Collaborate with data scientists and analysts to understand data requirements and implement data processing solutions.

- Optimize and tune existing data pipelines and architectures for improved efficiency and reliability.

- Ensure data quality and integrity throughout the data lifecycle, including validation, cleansing, and transformation.

- Monitor and troubleshoot data pipeline performance issues and implement solutions to address them promptly.

- Stay current with industry trends and best practices in data engineering, cloud technologies, and data warehousing.

Required Skills and Qualifications :

- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

- Proven experience as a Data Engineer or in a similar role designing, building, and maintaining data pipelines and infrastructure.

- Proficiency in SQL and database design principles.

- Strong understanding of Snowflake Data warehouse concepts

- Understanding of various methods of Data ingestion into Snowflake along with Data Sharing

- Good to have knowledge on Amazon Redshift, Postgres, Mysql Databases.

- Good programming skills in languages such as Python, Java, or Scala.

- Understanding of versions controlling and CI/CD tools in context to Snowflake

- Familiarity with data modelling, ETL development, and data warehousing concepts.

- Ability to work independently and as part of a team in a fast-paced and dynamic environment.

- Excellent analytical and problem-solving skills with attention to detail.

- Should be able to coordinate with multiple teams for customer requirements.

- Should be able to work on creating data model documents and DFD of the said project

Good to have Skills :

- Advanced degree in Computer Science, Engineering, or a related field.

- Experience with other cloud platforms (e.g., Google Cloud Platform, Microsoft Azure).

- Knowledge of big data technologies such as Apache Spark or Hadoop.

- Experience with data orchestration tool like Airflow.

- Understanding of data governance and security best practices.