2+ years designing and implementing large scale data solutions on Snowflake Data Warehouse.
3-4 years building production data ingestion and processing pipelines using Java, Spark, Scala, Python, and AWS services.
2 years in designing and implementing data warehousing solutions using technologies like Teradata, MsSQL Server, or DB2.
Strong presentation and communication skills, both written and verbal.
Problem-solving skills in environments with unclear requirements.
Responsibilities
Design and implement large scale data solutions on Snowflake Data Warehouse.
Build production-grade data ingestion and processing pipelines using multiple programming languages and AWS.
Conduct architectural assessments and work with stakeholders to finalize solution alternatives.
Develop data ingestion pipelines utilizing data streaming technologies like Kafka and Informatica.
Collaborate with IT and Business stakeholders on architectural options and analyses.
Benefits
Flexible working hours.
Opportunities for professional development and training.
Access to cutting-edge tools and technology.
A collaborative and innovative work environment.
Full Job Description
Basic Qualifications:
Minimum 2 year of designing and implementing a fully operational production grade large scale data solution on Snowflake Data Warehouse.
3 to 4 years of hands on experience with building productionized data ingestion and processing pipelines using Java Spark Scala Python and AWS Services.
2 years of hands on experience designing and implementing production grade data warehousing solutions on large scale data technologies such as Teradata MsSQL Server or DB2 Expertise and excellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies.
Excellent presentation and communication skills both written and verbal.
Ability to problem solve and architect in an environment with unclear requirements.
Required Skills:
Minimum 4 year of experience in architecting large scale data solutions performing architectural assessments crafting architectural options and analysis finalizing preferred solution alternative working with IT and Business stakeholders.
Experience building data ingestion pipeline using data streaming technology like Kafka Informatica.
Experience in working with AWS Azure and Google data services.
