Snowflake data engineer
5 days ago
Snowflake Data engineerWork Time : 2:00pm to 11:00pm ISTLocation : Bangalore, IndiaMode of work: WFO, IndiaInterview : 3 rounds + online assessment.the onboarding will take between 35-45 days please plan delivery accordingly.KEY RESPONSIBILITIES:Designing, implementing, managing scalable data solutions using Snowflake environment for optimized data storage and processing.Migrate existing data domains/flows from relational data store to cloud data store (Snowflake).Identify and optimize new/existing data workflows.Identify and implement data integrity practices.Integrate data governance and data science tools with Snowflake ecosystem as per practice.Support the development of data models and ETL processes to ensure high quality data ingestion in cloud data store.Collaborate with team members to design and implement effective data workflows and transformations.Assist in the maintenance and optimization of Snowflake environments to improve performance and reduce costsContribute to proof of concept, documentation and best practices for data management and governance within the Snowflake ecosystem.Participate in code reviews and provide constructive feedback to improve team deliverables qualityDesign and develop data ingestion pipeline using Talend/Informatica using industry best practices.Writing efficient SQL and Python scripts for large dataset analysis and building end to end automation process on a set schedule.Design, implement data distribution layer using Snowflake REST API.SKILLS / QUALIFICATIONSBachelor’s degree in computer science, Software Engineering, Information Technology, Management Information Systems or related field required (Master’s degree preferred10 years’ experience in data analysis, data objects development and modeling in Snowflake data store.Snowflake REST API experienceInformatica ETL and/or Talend ETL experience.Efficient SQL and PLSQL queries development and Python scripts development experience.Proven ability to work in distributed systemsProficiency with relational databases (such as DB2) querying and focus on data transformations.Excellent problem-solving skills and team-oriented mindsetStrong data modelling concepts and schema design on relational data store and on cloud data storeStrong communication skills both verbal and written. Capable of collaborating effectively across a variety of IT and Business groups, across regions and different roles.Familiarity with data visualization tools such as Tableau and Power BI is a plus.Collaborating with data scientists/experts to integrate machine learning models into SnowflakeData Warehousing background is required
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