Consultant-Snowflake Data Engineer

Inviting applications for the role of Consultant-Snowflake Data Engineer
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, streamlit
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 and Pyspark.
Should have some experience on Snowflake RBAC and data security.
Should have good experience in implementing CDC or SCD type-2.
In-depth understanding of Data Warehouse, ETL concepts
Experience in requirement gathering, analysis, 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.
Good to have exp 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