7.0 - 11.0 years

0 Lacs

maharashtra

On-site

As a Databricks AWS/Azure/GCP Architect at Koantek based in Mumbai, you will play a crucial role in building secure and highly scalable big data solutions that drive tangible, data-driven outcomes while emphasizing simplicity and operational efficiency. Collaborating with teammates, product teams, and cross-functional project teams, you will lead the adoption and integration of the Databricks Lakehouse Platform into the enterprise ecosystem and AWS/Azure/GCP architecture. Your responsibilities will include implementing securely architected big data solutions that are operationally reliable, performant, and aligned with strategic initiatives. Your expertise should include an expert-level knowledge of data frameworks, data lakes, and open-source projects like Apache Spark, MLflow, and Delta Lake. You should possess hands-on coding experience in Spark/Scala, Python, or Pyspark. An in-depth understanding of Spark Architecture, including Spark Core, Spark SQL, Data Frames, Spark Streaming, RDD caching, and Spark MLib, is essential for this role. Experience in IoT/event-driven/microservices in the cloud, familiarity with private and public cloud architectures, and extensive hands-on experience in implementing data migration and data processing using AWS/Azure/GCP services are key requirements. With over 9 years of consulting experience and a minimum of 7 years in data engineering, data platform, and analytics, you should have a proven track record of delivering projects with hands-on development experience on Databricks. Your knowledge of at least one cloud platform (AWS, Azure, or GCP) is mandatory, along with deep experience in distributed computing with Spark and familiarity with Spark runtime internals. Additionally, you should be familiar with CI/CD for production deployments, optimization for performance and scalability, and have completed data engineering professional certification and required classes. If you are a results-driven professional with a passion for architecting cutting-edge big data solutions and have the desired skill set, we encourage you to apply for this exciting opportunity.,

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