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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Proficiency in cloud technologies such as AWS, Azure, and GCP, with experience in Databricks, BigQuery, and other cloud-based services. Familiarity with cloud platforms (AWS, Azure, GCP) and related services.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Experience with workflow orchestration management engines such as Airflow, Dagster, DBT, etcExperience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc.
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Our infrastructure – including USDC, a blockchain-based dollar – helps businesses, institutions and developers harness these breakthroughs and capitalize on this major turning point in the evolution of money and technology.
$147,500 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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DBA Administrator (Senior) with skills Oracle DBA, SQL Server DBA, Azure SQL DBA for location Bangalore, India. (preferably BigQuery/MongoDB, GCP) Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP.
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Experience with Spark and cloud databases (Snowflake, BigQuery, DeltaLake) Hands-on expertise in Big Data, Distributed Systems, and Cloud Architecture (AWS, Azure, GCP) Experience with Spark and cloud databases (Snowflake, BigQuery, DeltaLake.
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Experience in stream / data processing technologies like Kafka, Spark, Google BigQuery, Google Dataflow, HBase. Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes.
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Solid understanding of DevSecOps, Git integration, Code deployment using CI/CD pipelines, managing work in an agile environment using Azure Boards, Confluence. Experience designing and building data pipelines using APIs, BigQuery and Streaming ingestion methods.
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Knowledge in Azure IoT, Azure HDInsight + Spark, Kafka and Azure Stream Analytics is a bonus. Data bricks, Microsoft Azure Data Engineer, and/or other cloud certifications.
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Experience working with Cloud Data Warehouses/Platforms, especially Snowflake, Redshift, Databricks, and BigQuery. Cloud computing experience with expertise in one or more of the following: AWS, GCP, or Azure.
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4 years of experience in working with high-scale or distributed RDBMS and/or NoSQL platforms (e.g. PostgreSQL, Redshift, BigQuery, Couchbase, MongoDB, Cassandra, HBase, Neo4J etc. Knowledge of / experience with Docker/Kubernetes and one or more public cloud (AWS, GCP, Azure.
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Proficiency in Spark, Python and ability work with telemetry using Azure monitor, App insights. Hands-on development experience with Relational DBs (MS SQL Server, PostgreSQL, Oracle), as well as complex stored procedures and functions using SQL and optimization of SSIS packages and Redshift database queries.
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Builds and manages data warehouses using technologies like Amazon Redshift, Google BigQuery, or Snowflake. Strong understanding and hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP.
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Certifications like Azure and AWS architects, network professional, Cisco/Palo Alto, ZScaler, etc., and Network & Security Certifications like CEH, CISSP, CCSP, CISA, CISM, etc. We are responsible for crafting the developer experience for Google Cloud Platform (GCP) developers in the Data Analytics space, including BigQuery, Bigtable, and others.
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ITIL, ServiceNow); Designing and developing large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker, Cloud IAM, etc.
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