Data Engineer

Job Summary:

• Experience range of at least 12+ years.

• Experience in real-time data streaming (preferably Kafka with Snowflake).

• Knowledge of Snowpark.

• Conversant with designing architectural diagrams/flowcharts.

• Experience in data warehouse and big data processing.

• Expert in Snowflake and its features and data storage architecture.

• Features include internal stage, external stage, COPY INTO, PUT, Snowpipe, streaming data processing, SQL API, etc.

• Experience in designing ETL pipeline and workflow using Snowflake.

• Hands-on experience in writing SQL, Snowpark Python, SQL Python, and stored procedures.

• Experience in working with public cloud data storage.

Key Responsibilities:

• Design and implement real-time data streaming solutions using Kafka and Snowflake.

• Create and maintain architectural diagrams and flowcharts.

• Develop and optimize data warehouse and big data processing solutions.

• Utilize Snowflake features for data storage and processing.

• Design ETL pipelines and workflows using Snowflake.

• Write and maintain SQL, Snowpark Python, SQL Python, and stored procedures.

• Collaborate with cross-functional teams to ensure seamless data integration and processing.

Required Qualifications:

• 12+ years of experience in relevant fields.

• Proficiency in Snowflake, SQL, Snowpark Python, SQL Python, and data storage architecture.

• Experience in real-time data streaming (preferably Kafka with Snowflake).

• Knowledge of Snowpark.

• Ability to design architectural diagrams/flowcharts.

• Strong understanding of data warehouse and big data processing.

Skills:

• Snowflake

• SQL

• Snowpark Python

• SQL Python

• Stored procedures

• Data storage architecture

• Real-time data streaming (preferably Kafka with Snowflake)

• Architectural diagrams/flowcharts

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Education:

Bachelors Degree