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Data Engineering Skills: Experience with data engineering tools and frameworks such as Apache Spark, Hadoop, and Kafka. Educational Background: Bachelor's or masters degree in computer science, Data Science, Machine Learning, Artificial Intelligence, or a related field.
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Strong understanding of software engineering principles, databases and data modeling/design techniques; data interface protocols; caching/performance improvements; software design patterns and integration patterns.
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Masters Degree in Computer Science, Information Systems, Software Engineering, Data Science, or related field and 3 years of experience." Education: " Bachelors Degree in Computer Science, Information Systems, Software Engineering, Data Science, or a related field and 4 years of experience.
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Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering, modelling, tuning, evaluating, monitoring, and presenting.
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Strong understanding of data privacy, data classification and data engineering requirements. Building data fictionalization, synthetic data creation, data mining, data sub-setting and data conditioning jobs.
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Staff Data Engineering role - someone with hands on experience with cloud infrastructure, PySpark/Spark(strong), CICD, basic software engineering, data engineering, etc.
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Conduct Database activities such as database creation, management, testing, programming on database, data engineering, reverse data engineering, reporting, analytics, data migration etc based on project requirement.
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Strong data engineering skills with Azure cloud platform. Maintain security and data privacy, working closely with data protection officer. Role name: Big Data Engineer/Developer.
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Staying abreast of the latest advancements in data engineering technologies and best practices. A passion for data engineering and a commitment to continuous learning." " 5+ years of experience in data engineering or a related field.
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Must Have Technical/Functional Skills 3 years of experience in Databricks engineering solutions on AWS Cloud platforms using PySpark, Databricks SQL, Data pipelines using Delta Lake. Roles & Responsibilities Work on client projects to deliver AWS, PySpark, Databricks based Data engineering & Analytics solutions.
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Azure Data Bricks, Data Factory, Pipelines, Event Hubs, Function apps, Data Engineering. Assist with architecture design to receive, store, and analyze large and complex data sets from large amounts of structured and unstructured data.
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Creates, maintains, and implements Backup and Recovery and disaster recovery for a large enterprise data warehouse. Other duties include: Collaborates with other teams as needed such as Unix, Windows, Web, Boundary, Citrix, DBA, Engineering, Support Application DBA functions including DDL creation, SQL scripting, problem research, system patching, and change deployments.
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Must have strong data engineering skills with knowledge and experience working with common AWS services like EC2, RDS, S3, EMR VPC, etc. Should have solid hands-on experience in end-to-end development of archival jobs for structured, semi structured, and unstructured data from different databases and file sources.
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Minimum 3-5 years' experience with engineering and administration of remote access gateways covering Citrix, Cisco and Juniper product lines. Thorough knowledge of remote access solutions covering IPSec, SSL VPNs and associated data security designs.
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BI Data Engineering SQL Spark Azure DEVOPS (CI/CD & Infrastructure as a code), ARM ADF, ADW, Azur Networking, Azure Security Power BI Python, Pyspark, Scala. Digital : PySpark; Digital : BI Data Visualization - Tableau.
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data engineering jobs Company: Diverse Lynx
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