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Job Description & How to Apply Below
Working closely with data scientists and domain experts to design and develop AI data pipelines using agile development process.
Developing pipelines for ingesting and processing large unstructuredand structured datasets from a variety of sources, with a specificemphasis on creating solutions for AI solutions to ensure efficient and effective data processing.
Work efficiently with structured and unstructured data sources.
Work with cloud technologies such as AWS to design and implement scalable data architectures
Supporting the operation of the data pipelines involves troubleshooting and bug fixing, as we'll as implementing change requests to ensure that the data pipelines continue to meet user requirements.
Your Profile
Masters or bachelors Degree in Computer Science/Mathematics/Statistics or equivalent.
Minimum of 3 years of relevant work experience in data engineering
Extensive hands-on experience in conceptualizing, designing, and implementing data pipelines. Proficiency in handling structured data Oracle unstructured data formats (eg, PPT, PDF, Docx), databases(RDMS, Oracle/PL SQL, MySQL, No
SQL such as Elasticsearch, Mongo
DB,Neo4j, CEPH) and familiarity with big data platforms (HDFS, Spark,Impala).
Experience in working with AWS technologies focussing on buildingscalable data pipelines.
Strong background in Software Engineering Development cycles(CI/CD) with proficiency in scripting languages, particularly Python.
Good understanding and experience with Kubernetes / Openshift Platform.
Front-end Reporting Dashboard and Data Exploration tools
-Tableau
Good understanding of data management, data governance, and data security practices.
Highly motivated, structured and methodical with high degree ofself-initiative
Team player with good cross-cultural skills to work in international team
Customer and Result orientated
Position Requirements
10+ Years
work experience
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