Senior Data Architect

16 hours ago

Mumbai, Maharashtra, India beBeeDataEngineering Full time ₹ 15,00,000 - ₹ 21,40,000

Data Architect Role

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As a seasoned data architect, you will leverage advanced data engineering techniques and analytics to drive strategic business decisions. Your key responsibility involves designing and developing robust data pipelines, integrating structured and unstructured data from various sources, and creating tools for data processing and analysis.

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Main Responsibilities:

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  • Design and develop comprehensive data engineering solutions using Databricks for large-scale data processing and integration projects
  • Develop scalable streaming and batch solutions using cloud-native components
  • Perform data transformation tasks, including cleansing, aggregation, enrichment, and normalization, utilizing Databricks and related technologies
  • Apply DataOps principles and implement CI/CD and DevOps practices within data environments to optimize development and deployment workflows
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Technical Skills and Qualifications:

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  • Expert-level proficiency in Spark Scala, Python, and PySpark
  • In-depth knowledge of data architecture, including Spark Streaming, Spark Core, Spark SQL, and data modeling
  • Hands-on experience with various data management technologies and tools, such as Kafka, StreamSets, and MapReduce
  • Proficient in using advanced analytics and machine learning frameworks, including Apache Spark MLlib, TensorFlow, and PyTorch, to drive data insights and solutions
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Databricks Specialization:

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  • Extensive experience in data migration from on-premises to cloud environments and implementing data solutions on Databricks across cloud platforms (AWS, Azure, GCP)
  • Skilled in designing and executing end-to-end data engineering solutions using Databricks, focusing on large-scale data processing and integration
  • Proven hands-on experience with Databricks administration and operations, including notebooks, clusters, jobs, and data pipelines
  • Experience integrating Databricks with other data tools and platforms to enhance overall data management and analytics capabilities
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Certifications and Qualifications:

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  • Certification in Databricks Engineering (Professional)
  • Microsoft Certified: Azure Data Engineer Associate
  • GCP Certified: Professional Google Cloud Certified
  • AWS Certified Solutions Architect Professional

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