Company: | Experion Technologies |
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Job Role: | Junior Data Science Engineer |
Experience: | Freshers ( 0- 4 years): |
Vacancy: | Various |
Qualification: | B.E/BTech Computer Science Information Technology |
Salary: | Best in Industries |
Location: | Kochi , Trivandrum |
Join us on Telegram | Click Here |
Apply Mode: | ( Online) |
Deadline: | Not Mentioned |
Job Description:
Solid involvement in Python and pySpark, with involvement in information types and dataframes
Understanding on disseminated capacity and handling.
Involvement in DB mixes with APIs/web administrations
Working learning with UNIX/Linux, Windows situations
Scripting Languages (shell, clump, PERL)
Understanding on ETL ideas utilizing pySpark/Spark and Databricks
Solid comprehension on HDFS, JSON, Parquet and so forth.
Presentation to ETL apparatuses like, Pentaho, Presto, Talend and so on.
On or more NoSQL databases experience is invited
Experience on either AWS/Azure serverless parts for Data Engineering
Understanding on the User Groups and access arrangements on the cloud condition
Experience and capacity to work in a group based Agile condition
Capacity to work freely with insignificant supervision as required
Required Skills/ Qualification:
Science Degree in Computer Science or related specialized order or the proportional blend of instruction specialized accreditations and work involvement.
Experion Technologies is searching for an information science engineer with around 2-4 years of experience. The up-and-comer ought to have reasonable involvement in taking care of enormous volumes of information and be natural the standards of information warehousing, information lake. Experience and introduction to Media, E-Commerce and B2C information investigation necessities is an or more. The up-and-comer ought to be spurred and should love to continue improving the presentation of the frameworks intended to push it to the following level
Obligations and duties
Dependable to change over significant level information pipelines to start employments and advance their presentation
Fabricate adaptable ML arrangements utilizing client information
Work widely with a blend of oversaw and custom answers for understand the information necessity of the client
Comprehend the elevated level design and convert them into deployable smaller scale assignments
Distinguish jug necks in information pipelines and render arrangements that last
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