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Capgemini
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SNOWFLAKE DATA ENGINEER

SNOWFLAKE DATA ENGINEER

Capgemini

4 - 9 years

4 - 8 Lacs

Chennai

Posted:2 months ago| Platform:

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Skills Required

snowflake presentation skills customer care microsoft azure decision making scala redhat linux data warehousing pyspark apache git spark gcp linux jenkins shell scripting hadoop bigquery perl python oracle javascript dataproc athena aws informatica

Work Mode

Work from Office

Job Type

Full Time

Job Description

Your Role As a senior software engineer with Capgemini, you should have 4 + years of experience in Snowflake Data Engineer with strong project track record In this role you will play a key role in Strong customer orientation, decision making, problem solving, communication and presentation skills Very good judgement skills and ability to shape compelling solutions and solve unstructured problems with assumptions Very good collaboration skills and ability to interact with multi-cultural and multi-functional teams spread across geographies Strong executive presence andspirit Superb leadership and team building skills with ability to build consensus and achieve goals through collaboration rather than direct line authority Your Profile 4+ years of experience in data warehousing, and cloud data solutions. Minimum 2+ years of hands-on experience with End-to-end Snowflake implementation. Experience in developing data architecture and roadmap strategies with knowledge to establish data governance and quality frameworks within Snowflake Expertise or strong knowledge in Snowflake best practices, performance tuning, and query optimisation. Experience with cloud platforms like AWS or Azure and familiarity with Snowflakes integration with these environments. Strong knowledge in at least one cloud (AWS or Azure) is mandatory Skills (competencies) Ab Initio Agile (Software Development Framework) Apache Hadoop AWS Airflow AWS Athena AWS Code Pipeline AWS EFS AWS EMR AWS Redshift AWS S3 Azure ADLS Gen2 Azure Data Factory Azure Data Lake Storage Azure Databricks Azure Event Hub Azure Stream Analytics Azure Sunapse Bitbucket Change Management Client Centricity Collaboration Continuous Integration and Continuous Delivery (CI/CD) Data Architecture Patterns Data Format Analysis Data Governance Data Modeling Data Validation Data Vault Modeling Database Schema Design Decision-Making DevOps Dimensional Modeling GCP Big Table GCP BigQuery GCP Cloud Storage GCP DataFlow GCP DataProc Git Google Big Tabel Google Data Proc Greenplum HQL IBM Data Stage IBM DB2 Industry Standard Data Modeling (FSLDM) Industry Standard Data Modeling (IBM FSDM)) Influencing Informatica IICS Inmon methodology JavaScript Jenkins Kimball Linux - Redhat Negotiation Netezza NewSQL Oracle Exadata Performance Tuning Perl Platform Update Management Project Management PySpark Python R RDD Optimization SantOs SaS Scala Spark Shell Script Snowflake SPARK SPARK Code Optimization SQL Stakeholder Management Sun Solaris Synapse Talend Teradata Time Management Ubuntu Vendor Management

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SNOWFLAKE DATA ENGINEER