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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and (GCP, AWS, Azure, Snowflake) ‘big data’ technologies.
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GCP Data Engineer (Standard) with skills Big Data, Kafka, Python, Scala, Apache Spark for location Bangalore, India. - Advanced knowledge of Google Cloud Platform (GCP) data services such as BigQuery, Cloud Storage, and Dataflow.
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Hands-on with Google Cloud services for data engineering- Dataflow, Data Proc, Big Query, Composer, Pubsub. Role: GCP Data Engineer. Experience with Airflow/Composer or Tidal to orchestrate the data pipelines.
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau;Possessing a certification(s) in one of the following is a big plus – GCP/AWS/Azure/ data or ML engineering.
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Experience in Big Data tools and technologies such as Big Query, Databricks, Airflow, Spark, Kafka Streams. In-depth understanding of Big Data ecosystems underlying architectures to re-platform legacy systems and build integration solutions on Google Cloud platform.
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Experience with big data technologies (e.g., Databricks, Snowflake) and data visualization tools (e.g., Qlik Sense, D3. Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and experience in deploying machine learning models in a cloud environment using platforms such as AWS SageMaker and GCP Vertex AI.
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Experience with a breadth of Data Integration tools, Databases, Big Data Platforms, Cloud-based data platforms and Data Streaming technologies, Cloud Azure and GCP platforms.
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Minimum of 8 years of designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache Beam/ composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & Github performing detail assessments of current state data platforms and creating an appropriate transition path to GCP cloud.
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Products (big data) including GCP, Hadoop o Products (streaming) including Kafka and MQTT. Develop REST based microservices using Spring, Spring-Boot, Spring-Cloud, Spring-Listener, Spring MVC, JavaScript, HTML, XML, JUNITS, Cloud, container image development and container orchestration Experience working with cloud environments, including GCP, Pivotal Cloud Foundary (PCF), Open Shift, Docker/Kubernetes.
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Build high-performing data processing frameworks leveraging Google Cloud Platform and utilizing GCP Services like Big Query, Python, Composer, Dataflow, GKE, Pub-Sub, Cloud Monitoring.
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Design and optimize data structures in data management systems (Snowflake, GCP, HANA) to enable reporting analytics using Tableau/Power BI as well as AI/ML solutions. 5+ years building scalable ETL pipelines with big data processing and/or developing applications and data sources (Apache Ni-Fi, Airflow, SSIS.
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Experience with at least 3 of the technologies/tools mentioned here: HAProxy, Kafka, Big Data/ Hadoop, Presto, Spark, Airflow, Pinot, Druid, Opensearch, Gcp, Data Proc. Experience scaling production systems running Big Data tools like Spark, Hadoop, Apache Druid, Looker.
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Experience with relational databases and building modern data pipelinesHands-on experience working with cloud technologies (OCI, AWS, Azure, GCP)Familiarity with Big Data components like Apache Spark, Apache Hudi, etc.
$96,800 - $251,600ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Driving/organizing/delivering UX Research; Big Data Analysis (SQL, Python); Data Visualization; Communicating effectively via PowerPoint and Word. Experience in Cloud Computing (e.g. Azure, AWS, GCP) to be able to quickly ramp up in the range of products your work will support; Experience with cloud-based data platforms (e.g. Azure Synapse, Snowflake.
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Experience designing and developing big data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others. 7+ years experience designing and developing microservices using Java, SpringBoot, GCP SDKs, GKE/Kubernetes.
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