BriefCase
BriefCase

Ml Engineer - Data Science Job in Ecolab Digital Center

Ml Engineer - Data Science

Ecolab Digital Center 4+ weeks ago
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Job Summary Job Overview Do you have a passion for processing data to enable insights for organizations? Do you like to work in an innovative environment? We are looking for a ML Engineer to join our growing team of analytics experts. You will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The ML Engineer will support our data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. You must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company s data architecture to support our next generation of products and data initiatives. Experience with Kubernetes, Kubeflow and/or Serverless computing services is preferred but any relevant experience in ML engineer is acceptable. What s in it For You
  • 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 data sets.
  • 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.
RequiredQualifications
  • 3+ years working experience with focus on Data Warehousing and Big Data related technologies.
  • 3+ years of experience in Data Orchestration tools like Azure Data Factory.
  • 3+ years of experience in Azure Stack tools includes ADLA, ADF, ADLS, Dask , HDinsight, Spark ,SQL queries and U-SQL.
  • 2+ years working experience with Spark, Hadoop, HDFS, Hive.
  • 2+ 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
  • 3+ 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.
PreferredQualifications
  • BS/MS degree in Computer Science, Information Systems or relevant work experience
  • 2+ years experience in designing, architecting and operationalizing machine learning algorithms
  • Understanding in Kubeflow and Kubeflow pipeline.
  • 2+ years of experience in working with in parquet file (large file size)
  • 2 + years of experience in working with Presto.
  • 2+ 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
  • 2+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.
Experience Required :

Fresher

Vacancy :

2 - 4 Hires

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