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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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Experience connecting Tableau to various data sources, including relational databases (e.g., SQL Server, MySQL), cloud platforms (e.g., AWS, Google Cloud), and flat files (e.g., CSV, Excel), to extract and transform data for analysis.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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MS, Azure PostgreSQL, Python, R Programming Language, Spring Framework, SQL, YAML. Fluent in SQL and NoSQL data stores, possessing deep knowledge of data access patterns and strategies.
$178,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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They include Databricks, SPARK Streaming, Azure SQL, Delta Lake, Azure Data Factory, HD Insights, and Notebook. Experience in handling and delivering big data analytics for daily users.
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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. Solid experience implementing data lineage, data quality and data observability for big data workflows.
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Exceptional Microsoft SQL Server design and development skills Service Development: RESTful APIs, Microservices, ASP.Net Core, Azure API Management, Azure API Apps Data: Microsoft SQL Server, Azure SQL, Entity Framework/CosmosDB, MongoDB (nice to have) Strong JavaScript framework experience with React.
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Skills Required: Requires experience in the following: Agile SDLC; Application Architecture Disciplines; Jenkins; NodeJS; Spring; Java; Python; React; Shell Scripting; SQL; REST; Maven; Apache Ant; JSON; Apache Zookeeper; AWS Cloud Services; Oracle; Apache Spark; Splunk; GIT; Junit; Unit Testing; and User Acceptance Testing.
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Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
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Operational support responsibilities include platform set-up and configuration, workspace administration, resource monitoring, providing technical support to data engineering, Data Science/ML, and Application/integration teams, performing restores/recoveries, troubleshooting service issues, determining the root causes of issues, and resolving issues.
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Integration: Integrate Azure Databricks with other Azure services such as Azure Data Lake Storage, Azure Synapse Analytics, and Azure SQL Database, as well as third-party tools and data sources.
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Proficiency in SQL and at least one programming language, such as R or Python, for data manipulation and analysis. 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Working experience in security technologies such as: Security information and event management (SIEM), IDS/IPS, Data Loss Prevention (DLP), Proxy, Web Application Firewall (WAF), Endpoint detection and response (EDR), Anti-Virus, Sandboxing, network- and host- based firewalls, Threat Intelligence, Penetration Testing, etc.
$141,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Required Minimum QualificationsIntern Pursuing a Bachelor’s, Master's, or Doctoral degree in Electrical Engineering and Computer Engineering, Aerospace Engineering, Software Engineering, Imaging Science, Optical Engineering, Applied Mathematics, Physics, Astronomy, Astrophysics, Computer Science or a related discipline.
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Required 10+ years Extensive experience with PostgreSQL, Document DB, and Elasticsearch, including designing and managing complex data models Required - Proven experience with infrastructure as code (IaC) tools such as AWS CloudFormation or Terraform.
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