Hiring For Snowflake with DBT

Inviting applications for the role of Lead Consultant- Snowflake Data Engineer( Snowflake+Python+Cloud)

In this role, the Snowflake Data Engineer is responsible for providing technical direction and lead a group of one or more developer to address a goal.

Job Description:

• Experience in IT industry
• Working experience with building productionized data ingestion and processing data pipelines in Snowflake
• Strong understanding on Snowflake Architecture
• Fully well-versed with data warehousing concepts.
• Expertise and excellent understanding of Snowflake features and integration of Snowflake with other data processing.
• Able to create the data pipeline for ETL/ELT
• Excellent presentation and communication skills, both written and verbal Ability to problem solve and architect in an environment with unclear requirements.
• Able to create the high level and low-level design document based on requirement.
• Hands on experience in configuration, troubleshooting, testing and managing data platforms, on premises or in the cloud.
• Awareness on data visualisation tools and methodologies
• Work independently on business problems and generate meaningful insights
• Good to have some experience/knowledge on Snowpark or Streamlit or GenAI but not mandatory.
• Should have experience on implementing Snowflake Best Practices
• Snowflake SnowPro Core Certification will be added an advantage

Roles and Responsibilities:

• Requirement gathering, creating design document, providing solutions to customer, work with offshore team etc.
• Writing SQL queries against Snowflake, developing scripts to do Extract, Load, and Transform data.
• Hands-on experience with Snowflake utilities such as SnowSQL, Bulk copy, Snowpipe, Tasks, Streams, Time travel, Cloning, Optimizer, Metadata Manager, data sharing, stored procedures and UDFs, Snowsight, Steamlit
• Have experience with Snowflake cloud data warehouse and AWS S3 bucket or Azure blob storage container for integrating data from multiple source system.
• Should have have some exp on AWS services (S3, Glue, Lambda) or Azure services ( Blob Storage, ADLS gen2, ADF)
• Should have good experience in Python/Pyspark.integration with Snowflake and cloud (AWS/Azure) with ability to leverage cloud services for data processing and storage.
• Proficiency in Python programming language, including knowledge of data types, variables, functions, loops, conditionals, and other Python-specific concepts.
• Knowledge of ETL (Extract, Transform, Load) processes and tools, and ability to design and develop efficient ETL jobs using Python or Pyspark.
• Should have some experience on Snowflake RBAC and data security.
• Should have good experience in implementing CDC or SCD type-2.
• Should have good experience in implementing Snowflake Best Practices
• In-depth understanding of Data Warehouse, ETL concepts and Data Modelling
• Experience in requirement gathering, analysis, designing, development, and deployment.
• Should Have experience building data ingestion pipeline
• Optimize and tune data pipelines for performance and scalability
• Able to communicate with clients and lead team.
• Proficiency in working with Airflow or other workflow management tools for scheduling and managing ETL jobs.
• Good to have experience in deployment using CI/CD tools and exp in repositories like Azure repo , Github etc.

Qualifications we seek in you

Minimum qualifications

• B.E./ Masters in Computer Science, Information technology, or Computer engineering or any equivalent degree with good IT experience and relevant as Snowflake Data Engineer.

• Skill Metrix:

Snowflake, Python/PySpark, AWS/Azure, ETL concepts, & Data Warehousing concepts