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Must have strong hands-on experience on various cloud services like ADF/Lambda, ADLS/S3, Security, Monitoring, GovernanceMust have experience to design platform on Databricks.
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The ideal candidate will have a robust background in big data analytics, data engineering, and cloud computing, with a particular focus on building and optimizing data lakes on AWS. This role is crucial for designing, implementing, and managing advanced data solutions using AWS and Data Lakehouse platforms.
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Hands on experience with data technologies on cloud. Build implementation patterns using your expertise and background on AWS cloud natives capabilities such as Athena, Glue, Lambda, S3, DynamoDB NoSQL, Relational Database Service (RDS), Amazon EMR and Snowflake.
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3-5 years of strong hands-on expertise on Cloud (AWS/Azure/GCP) with strong experience in working with modern data and analytics frameworks, big data, and DevOps techniques, and is proficient with programming languages (like Python, Java, Scala.
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Hands-on experience with data integration platforms and tools such as Informatica, Talend, IBM DataStage, Microsoft SSIS, or similar. Proven experience (10 years) as a data integration architect, data engineer, or similar role, with a focus on designing and implementing complex data integration solutions.
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Hands on experience in Teradata/Cloudera and/or other Data Warehouse platforms. ➢ Cloud computing infrastructure (e.g. Amazon Web Services EC2, Elastic MapReduce) and considerations for scalable, distributed systems NoSQL platforms (e.g. key-value stores, graph databases) Data modelling techniques for NoSQL data and Cloud data platforms (e.g. AWS, Azure, GCP) High-scale or distributed cloud native data platforms.
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Expert hands-on programming experience working with AWS cloud services. Strong hands-on programming experience with SQL and be highly proficient in the workings of data technologies (Hadoop, Hive, Spark, Kafka, low latency data stores, Airflow, etc.
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Proficiency in design principles and hands-on experience with data processing languages, including SQL programming for data modeling, Spark/Python for big-data processing, and data science applications.
$129,455 - $167,530 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Hands-on experience with a variety of ETL and database/warehousing/integration tools like Snowflake, Databricks, NiFi. Experience with cloud computing platforms such as AWS, Azure, or GCP is highly desirable.
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Lead solution design leveraging DG tools, such as Informatica IDMC, Collibra, Alation, or open source and cloud-native capabilities (AWS, Azure, GCP)Troubleshoot and Resolve technical issuesCoach junior team members and lead DG technical competencies and skills strengthBusiness DevelopmentNeed to actively contribute to Pre-Sales / Business Development of the Data Governance domain.
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Experienced in cloud architecture, design, and hands on knowledge of core CRM application, data integration & mastery services such as SalesForce, MuleSoft, Informatica. Ability to use AWS, Oracle, SalesForce Sales Cloud, Data Cloud & Marketing Cloud;, Informatica MDM & ETL, and MuleSoft as platforms for Data Services.
$117,300 - $195,500 a yearPart-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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5+ years hands-on experience with building cloud production data solutions leveraging services and technologies such as AWS EC2, S3, Redshift, RDS, Glue, Athena, Demonstrated on-the-job experience with large-scale data migration from Oracle on prem to AWS Cloud environment.
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Extensive (hands-on) knowledge of data platforms and data processing, using Amazon Web Services (AWS), Microsoft Azure, Google Cloud and related concepts. 5+ years of hands-on experience building data cloud lakes, data-intensive applications, data pipelines, CI/CD and data engineering.
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GS is comprised of four primary business units: 1) Global Services Security (GSS) provides security guidance and offerings, 2) Training & Certification (T&C) offers cloud skills training and certification, 3) Professional Services (ProServe) provides consulting and hands-on-keyboard services, and 4) Support and AWS Managed Services (Support) delivers 24/7 technical support and managed services.
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Job Title: AWS Data Infrastructure Architect-Full time HireLocation: Alameda, CA (Onsite ) Job Description: Key Responsibilities: Architect, design and implement unified data access for various personas like data engineer, data analyst, data steward by simplified access control mechanism which supports governance on AWS and non-AWS assets.
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hands on aws cloud architect jobs Title: data architect in Phenix-city, Alabama
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