A comprehensive and a new-age management consultancy company, working at the best level to craft and deliver strategic solutions that compliments the client's objectives.

Data Engineer

Views: 973 | This job is expired 1 year, 7 months ago

Basic Job Information

Job Category	:	IT & Telecommunication
Job Level	:	Mid Level
No. of Vacancy/s	:	[ 1 ]
Employment Type	:	Full Time
Job Location	:	Kupondole, Lalitpur
Offered Salary	:	NRs. 30,000.00 - 60,000.00 Monthly
Apply Before(Deadline)	:	Sep. 18, 2022 23:55 (1 year, 7 months ago)

Job Specification

Education Level	:	Under Graduate (Bachelor)
Experience Required	:	More than or equal to 2 years
Professional Skill Required	:	Communication Data Analysis Analytical Python Interpersonal Skills

Other Specification

Bachelor’s degree from an accredited university or college in computer science or a related field.
At least 2-year work experience as a data engineer or in a related field.
Technical proficiency with database design development, data models, techniques for data mining, and segmentation.
Experience with ETL in an industrial environment.
Ability to work with business stakeholders to assess opportunities and potential risks.
Ability to analyze existing tools and databases and provide software solution recommendations.
Demonstrated experience in handling large data sets and relational databases.
Ability to communicate the design of data pipelines with Data scientists and Data analysts.

Special skills and knowledge

Strong foundation of Python programming language, Pandas, NumPy, seaborn and Matplotlib libraries.
Experience in working with at (least) one cloud environment(Jelastics).
Excellent software engineering skills in Python and experience with software testing and CI/CD standards.

Job Description

Managing the reporting environment, with focus on ETL, data pipelines and data warehouse.
Providing technical expertise in data storage structures, data mining, and data cleansing.
Building, using and maintaining automated tools to extract data from primary and secondary sources.
Design, develop and maintain a data analytics ecosystem and an optimal data pipeline architecture
Ownership of initiatives for data integrity and normalization.
Provide quality assurance of imported data.
Commissioning and decommissioning of data sets.
Support assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems around the reporting environment.
Troubleshooting the reporting database environment and support with troubleshooting of reports.
Maintaining documentation and training data-consumers on data-sets.
Helping our data analysts make the best possible reports and analyses by creating a super solid data foundation.
Build analytics tools and report systems that utilize the data pipeline to provide actionable insight into operational efficiency, customer acquisition and journey, and other key business performance metrics

This job has expired.

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