Data Engineer-Data Integration

Introduction

• 5-7 years of full-time working experience in Data Engineering domain.
• Expertise in Snowflake, Azure/Fabric, DBT, BW, Python, SQL and must have excellent understanding of databases.
• Must have experience with Cloud data integration.
• Good knowledge of Data Modeling, industrial modeling, Analytic model, data architecture, dimensional modeling, 3rd normal form model, Kimball model, Inmon model, Data Integration and Business Intelligence.
• Demonstrated ability in solutioning covering data ingestion, data cleansing, ETL, data mart creation and exposing data for consumers.

Your role and responsibilities

Designs and builds solutions to move data from operational and external environments to the business intelligence, data warehouse and data lake environments using Snowflake and Azure/Fabirc, DBT and BW. Skills include designing and developing extract, transform and load (ETL) and extract, load and transform (ELT) pipelines. Experience includes full lifecycle implementation of the technical components of a data warehouse, data lake and business intelligence solutions.

Position Keywords
#snowflake #dbt #azure #python #sql #modeling

Required education

Bachelor's Degree

Required technical and professional expertise

• SnowPro Advanced: Data Engineer Certification.
• Microsoft Certified: Fabric Data Engineer Associate Certification.

Preferred technical and professional experience

Hiring manager and Recruiter should collaborate to create the relevant verbiage.

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OTHER RELEVANT JOB DETAILS

IBM wants you to bring your whole self to work and for you this might mean the ability to work flexibly. If you are interested in a flexible working pattern, please talk to our recruitment team to find out if this is possible in the current working environment.