Multi Recruit | Jobs | Sr. Machine Learning Engineer | BigDataKB.com | 27-03-22

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Job Location: Bangalore/Bengaluru

Roles and Responsibility
  • The opportunity to take on some of the world s most meaningful challenges, helping customers achieve clean water, safe food, abundant energy and healthy environments
  • The ability to make an impact and shape your career with a company that is passionate about growth
  • The support of an organization that believes it is vital to include and engage diverse people, perspectives and ideas to achieve our best
Responsibilities
  • Pipeline Orchestration design and development of end to end workflow/pipeline .
  • Assist in development and deployment of automation and operational support strategies
  • Deliver analytics solutions to data analysts, data scientists, and visualization engineers who create insights and analytical applications for business stakeholders
  • Work in an Agile environment with Scrum teams
  • Performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • Working knowledge of message queuing, stream processing, and highly scalable big data data stores.
Required Qualifications
  • 5+ years working experience with focus on Data Warehousing and Big Data related technologies.
  • 5+ years of experience in Data Orchestration tools like Azure Data Factory.
  • 5+ years of experience in Azure Stack tools includes ADLA, ADF, ADLS, Dask , HDinsight, Spark ,SQL queries and U-SQL.
  • 5+ years working experience with Spark, Hadoop, HDFS, Hive.
  • 5+ years with any NoSQL Databases like Azure Cosmos/Mongo DB/Cassandra or HBase
  • Work experience in Python programming and Pandas library
  • Work experience in containerization technologies like Docker Kubernetes
  • Managing model in production
  • 5+ years of experience in building CI/CD pipeline.
  • Experience designing distributed, highly available and scalable systems
  • Self-motivated and highly adaptable; ability to work with cross-functional teams in a fast-paced, dynamic and changing environment
  • Delivering analytics leveraging agile methodologies (Scrum, Kanban, TDD)
  • Understanding of ELT and ETL patterns and when to use each
  • Experience with object-oriented or object function scripting languages: Python (preferred), Java, C++, Scala, etc.
Preferred Qualifications
  • BS/MS degree in Computer Science, Information Systems or relevant work experience
  • 5+ years experience in designing, architecting and operationalizing machine learning algorithms
  • Understanding in Kubeflow and Kubeflow pipeline.
  • 5+ years of experience in working with in parquet file (large file size)
  • 5 + years of experience in working with Presto.
  • 5+ years consulting experience
  • Stays abreast of current and emerging trends in analytics
  • Implement and support for streaming technologies like Azure IoT/Event Hub or Apache Kafka
  • Has worked in a geographically distributed team across multiple time zones.
  • Understanding of Linux
  • Experience in Graph Database
  • 5+years working experience with Microsoft Azure PaaS services like Blob Storage, Azure SQL DB, Analysis Services, Azure Cosmos, Azure IoT/Event Hub and Azure SQL Data Warehouse.
  • Strong interpersonal and communication skills, ability to effectively work with people at all levels of the enterprise from executives to developers.

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