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Experience in architecting and delivering highly scalable, distributed, cloud-based enterprise data solutions.
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Strong expertise in the end-to-end implementation of Cloud data engineering solutions like Enterprise Data Lake, Data hub in AWS.
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Hands-on experience with Snowflake utilities, SnowSQL, Snow Pipe, ETL data Pipelines, Big Data model techniques using Python / Java.
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Experience in loading disparate data sets and translating complex functional and technical requirements into detailed design.
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Should be aware of deploying Snowflake features such as data sharing, events and lake-house patterns.
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Should have experience with data security and data access controls and design.
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Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modeling).
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Proficient in Lambda and Kappa Architectures.
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Strong AWS hands-on expertise with a programming background preferably Python/Scala.
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Good knowledge of Big Data frameworks and related technologies - Experience in Hadoop and Spark is mandatory.
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Strong experience in AWS compute services like AWS EMR, Glue and Sagemaker and storage services like S3, Redshift & Dynamodb.
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Valuable experience with any one of the AWS Streaming Services like AWS Kinesis, AWS SQS and AWS MSK.
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Troubleshooting and Performance tuning experience in Spark framework - Spark core, Sql and Spark Streaming.
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Experience in one of the flow tools like Airflow, Nifi or Luigi.
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Valuable knowledge of Application Dev Ops tools (Git, CI/CD Frameworks) - Experience in Jenkins or Gitlab with rich experience in source code management like Code Pipeline, Code Build and Code Commit.
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Experience with AWS Cloud Watch, AWS Cloud Trail, AWS Account Config, AWS Config Rules.
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Robust understanding of Cloud data migration processes, methods and project lifecycle.
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Good analytical & problem-solving skills.
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Good communication and presentation skills.
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📌 Data Engineering Bengaluru (India)
🏢 Teamware Solutions
📍 India
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