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Advanced technical certifications: AWS Certified Cloud Practitioner, Solutions Architect, Certified Developer, or SysOps Administrator certifications; RHEL RHCSA/RHCE; AWS Certified Data Analytics, DASCA Big Data Engineering and Analytics preferred.
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Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (Google Cloud Platform, AWS, Azure.
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus Prior domain experience of Life Insurance, Annuity or Financial Services is a plus AWS Certifications are considered a strong plus Excellent verbal and written communication skills.
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YOUR SKILLS AND EXPERTISEBachelor’s degree in computer science, data science or a related field with five (5) or more years of working as a data engineer, ETL developer and/or data warehouse DBA.STANDOUT QUALIFICATIONS:Experience with Cloud-based data services and solutions (Azure Synapse / Data Lake, AWS RedShift, Snowflake, GCP Big Query)Experience partnering with Analytics and Data Science teams in building out production grade GenAI/ML solutions.
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As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence.
$172,000 a yearPart-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Design and implement data-centric solutions on Google Cloud Platform (GCP) using various GCP tools like Big Query, Google Cloud Storage, Cloud SQL, Memory Store, Dataflow, Dataproc, Artifact Registry, Cloud Build, Cloud Run, Vertex AI, Pub/Sub, GCP APIs.
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This includes understanding the business need, planning the project, aggregating & exploring data, building & validating predictive models, and deploying completed ML capabilities on the AWS Cloud to deliver business impact for the customer.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, and distributed computing frameworks. Strong experience with cloud platforms such as AWS, Azure, or Google Cloud Platform is a must.
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AWS big data technologies: S3, Glue, EMR, Kinesis, RDS, Redshift, Athena. Title: Data Engineer II. Creating and driving large scale big data analytics pipelines.
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Knowledge of cloud computing and data warehousing solutions (e.g., AWS Redshift, Snowflake). Familiarity with Databricks for big data processing and advanced analytics.
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We are looking for Cloud AWS Engineer - Remote / Telecommute for our client in Richmond, VA. Job Title: Cloud AWS Engineer - Remote / Telecommute. Presto, Hive, SparkSQL, Cassandra, or Solr other Big Data query and transformation experience a plus.
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Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK, and Databricks/Spark.
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Utilize Databricks for big data processing and advanced analytics. As a MarTech Engineer, Business Intelligence (BI) Analyst, you will play a crucial role in transforming data into actionable insights that inform business strategies and drive performance.
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Experience implementing DevSecOps pipelines for infra, applications, data, providing cloud security guardrails with tools such as Deployment Manager, Terraform, OPA, Versatile scanning tools and other technologies.
$183,800 a yearFull-timeExpandApply NowActive JobUpdated Today
big data engineer aws cloud jobs Title: data engineer Company: Emerald
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