Senior Data Engineer (with Snowflake)

Our firm’s name says a lot. Simply put,BlueCloudenables enterprises to transform to cloud. As a Cloud-Only / Cloud-Forward transformation company, we help organizations to enable and speed their journey to cloud.

Bluenet was founded in 2004 within theData& Analytics space and has constantly evolved. Now,BlueCloudrecognizes the cloud-only nature of our digital transformation company that specializes solely in implementing leading cloud technologies and solutions for our clients.

BlueCloud’sinnovative approaches and tailored solutions designed to meet our customers’ unique requirements are the core components of our service offerings. With a balanced view of strategy, people, process and technology, we work with companies to understand their specific business needs to develop and implement practical business strategies and technology solutions.

By leveraging our strategic partnerships with cloud superpowers such as Microsoft Azure, Google Cloud,AWS,Snowflake& ThoughtSpot,BlueCloudcontinues to highlight the opportunity set at hand for cloud migration, often consulting on cloud strategies and subsequently performing the implementation. With our extensive experience in digital-focused services,BlueCloudis well-positioned to help our customers take advantage of the upcoming cloud-centric investment cycle.

Key Responsibilities:

Collaborate with IT and business stakeholders to ensure seamless data flow and interoperability.

Design, develop, and manage data pipelines that extract, transform, and load (ETL) data from various sources, primarily focusing on AWS S3 to Snowflake.

Implement and maintain data models and databases in Snowflake.

Utilize AWS tools (such as AWS Glue, AWS Lambda, AWS Step Functions) to optimize data processing workflows.

Ensure data quality and integrity by implementing robust monitoring and error-handling mechanisms.

Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver solutions that meet their needs.

Optimize and tune data processing jobs for performance and cost efficiency.

Develop and maintain data transformation processes using DBT (Data Build Tool).

Stay updated with industry trends and best practices in data engineering, Snowflake, AWS, and DBT.

Required Skills and Qualifications:

Bachelor’s degree in computer science, Engineering, Information Systems, or a related field.

Proven experience as a Data Engineer or in a similar role.

Experience in translating business needs into technical requirements and solutions within Snowflake.

Advanced knowledge and extensive hands-on experience with Snowflake’s architecture, features, and capabilities.

Hands-on experience with AWS S3 and other AWS tools (such as AWS Glue, AWS Lambda, AWS Step Functions).

Proficiency in SQL and experience with SQL-based transformations.

Experience with DBT for data transformation and modeling.

Strong problem-solving skills and attention to detail.

Excellent communication and collaboration skills.

Ability to work in a fast-paced environment and manage multiple priorities.