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Experience building on atleast one of the cloud technologies (AWS, GCP, Azure, Snowflake, Databricks) Broad expertise and experience with distributed systems, streaming systems, and data engineering tools, such as Kubernetes, Kafka, Airflow, Dagster, etc.
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Strong proficiency in data architecture, big data technologies, cloud platforms (AWS & Snowflake) and clean rooms. Implement and optimize solutions using technologies such as Snowflake and clean rooms to ensure data security and compliance.
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Expert in one or more of NoSQL and database appliances and platforms (Snowflake, Synapse, Databricks) Azure or Snowflake Cloud Certification is a must. Hands on experience with SQL, Python, Informatica PowerCenter/IICS, Collibra, Reltio Master Data Management, DBT Cloud, DBT core, Denodo, Synapse and Golden Gate replication.
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Responsible for day-to-day Onshore - Offshore service delivery operations for Big Data, Cloud, Middleware Integration, SNOWFLAKE, Databricks applications. Experience with Customer support service delivery for Integration Big Data, Cloud, Middleware Integration, SNOWFLAKE, Databricks technology environments.
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Experience with Snowflake, Apache Airflow, dbt and Rudderstack. Design, deploy, own and maintain best-in-class data infrastructure (Snowflake, Airflow, dbt, EKS, etc.) You will be responsible for managing our Snowflake data warehouse, building and maintaining ETL and data ingestion processes, and providing assistance to other teams within the company who input data into the warehouse and carry out analytics with the data it holds.
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5+ years in designing, solutioning the Snowflake, Databricks and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace. · Relevant certifications (e.g., Snowflake, Databricks, Certified Analytics Professional, AWS Certified Big Data - Specialty) are a plus.
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Reporting directly to the Director, Business Applications, this position will be responsible for leading data strategy, contributing to enterprise data lake & analytics platforms using Snowflake, Fivetran and DBT technologies and drive standardization, operational excellence across the organization.
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Certification on at least one relevant platform/tool (AWS, Azure, GCP, Snowflake, Databricks, Spark) You will work with tools/platforms like Kafka, Snowflake, and Databricks to help clients get the most out of their data that may be in systems like Salesforce, SAP, SQL Server, or file storage.
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Experience with architecture and technologies such as Snowflake, Fivetran, DBT, Oracle, SQL Server, GitHub, PowerBI and CI/CD framework. Experience with optimizing data pipelines, data models, workloads, and cost optimization for Snowflake, Fivetran, Power BI & DBT.
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We provideexpertise in Azure, AWS, GCP, Snowflake, Databricks, and Python. We provideexpertise in Azure, AWS, GCP, Snowflake, Databricks, and Python. For our sustainable growth, we are seeking for a Databricks Technical Lead who can elevate our Databricks competence center to the next level.
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A history of continuous professional development, with a preference for certifications in/across Azure DevOps, JIRA, Salesforce, Tableau, Microsoft Power BI, Snowflake, Salesforce Administration/Development, and Agile domain certifications (Product Owner, Scrum Master, SAFe) Exposure and expertise with iPaaS technologies and platforms, e.g. Microsoft Power Automate, as well as working understanding of LLM GPT tools and their value and inclusion into operational automated approaches.
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Minimum 5 years of designing and implementing an operational production grade large-scale data solution on Microsoft Azure Snowflake Data Warehouse. Strong understanding or Snowflake on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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5+ years experience in field of data engineering involving building data integration solutions or data warehouse environments such as AWS, Snowflake, Oracle, etc. Design and build Data Lake and data warehouse solutions on Snowflake and AWS using streaming and batch processes.
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Contribute to growing the global Snowflake community within Slalom through coaching, mentoring and publishing thought leadership content. This leader's passion for learning, enabling, and applying Snowflake AI capabilities to solve business use cases will drive impact for Slalom markets and customers.
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Skilled in modern data platforms (Azure Synapse, Databricks, Redshift, Big Query, Snowflake). Programming languages: Java, Pyspark, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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