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Experience with big data technologies such as Apache Hadoop, Spark, Kafka, and others. Leverage AWS cloud services like S3, Kinesis, Redshift, EMR, Glue, Lambda, and others, in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics.
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Certifications : Relevant certifications such as Google Professional Cloud DevOps Engineer, Google Professional Cloud Architect, or Terraform Associate Certification would be a plus.
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Experience with cloud platforms such as AWS, Azure, or Google Cloud, with a focus on Snowflake integration. Experience in big data technologies such as Spark, Hadoop, or Databricks.
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Experience with CI/CD, a fundamental concept in Azure DevOps, and familiarity with cloud platforms like Microsoft Azure, Amazon Web Services, or Google Cloud Platform. Microsoft, Google, Johnson & Johnson, Fannie Mae, Walmart, PayPal, T-Mobile, McDonald's, CVS, Verizon, Charter, Nike, Dell, Wells Fargo, Capital One, and Charles Schwab , among many others.
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Microsoft Azure Solutions Architect, AWS Solution Architect Professional, Google Cloud Architect, or Oracle Cloud Infrastructure Certification. 10+ years of experience in Cloud architecture with Cloud environments, including AWS, Azure, Oracle Cloud, or Google Cloud in FedRAMP and FedRAMP+ environments.
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Hands-on experience with big data technologies (such as Hadoop, Spark, Kafka). Implement and optimize data solutions in enterprise data warehouses and big data repositories, focusing primarily on movement to the cloud.
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What you'll bring:Must HaveWell versed with Hadoop, Spark, Cloud, Python/PySpark and Java, Streaming, Kafka, Backend. You have a proven track record coding with at least one programming language (e.g., Scala, Python)You’re experienced in one of cloud computing platforms (e.g., GCP, Azure)You’re skilled in data modeling & data migration protocols.
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4-5 years experience in an analytical role in a digital media environment 4-5 years’ experience with SQL framework and query scripting (Google Cloud Platform, MySQL, PostgreSQL, Hive/Hadoop experience) Experience with ad serving solutions such as DFP, Atlas, etc.
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Proficiency in data engineering tools and technologies such as Apache Airflow, Spark, Kafka, Hadoop, or similar. -Experience with cloud platforms (AWS, Azure, GCP) and data warehousing solutions (e.g., Snowflake, BigQuery.
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Professional Hadoop training (Preferred) Hortonworks or Cloudera certifications (Preferred) 5+ years of general technology principles, with a deep foundation in Cloud-Native Technologies.
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Innova Solutions is seeking a skilled Data Engineer with expertise in Snowflake, dbt, GCP (Google Cloud Platform), and Python to join our team. Familiarity with Google Cloud Platform (BigQuery, Dataflow, Cloud Functions) for data processing and storage.
$80 an hourFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience with cloud infrastructure technologies with AWS, Azure, and Google Cloud Provider. Expertise with Cloud architecture, infrastructure design, DevOps and automation.
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2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.
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Manage services from Public Cloud Hyperscalers like Microsoft Azure, Amazon AWS, Oracle OCI, Google GCP, and Alibaba Cloud on services like Cloud Compute, Storage Services, Data Services, DevOps, CI/CD, MicroServices, Service Mesh, Containerization, Artificial Intelligence, Machine Learning platforms and End-to-End Observability.
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