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Jobs or company...

Data Engineer (JD#9698)

$ 542 - $ 708 / month

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Availability Status

This job is expected to be in high demand and may close soon. We’ll remove this job ad once it's closed.

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Job Description

Job Summary

A great opportunity as a Data Engineer to work in cloud based data engineering, analytics and data management team in a well established company.

Mandatory Skill-set

  • Bachelor's Degree in Computer Science or equivalent;
  • Minimum 5years of experience in data engineering and data management;
  • Hands on technical experience inAzure Data Factory, Databricks, Synapse, SQL Server Integration Services;
  • Strong experience in Python / SAS / R along with Tableau / Power BI;
  • Strong experience in gathering business requirements and translating into technical specification;
  • Strong analytical skills with high curiosity to deep dive into root cause of problems and suggest solutions;
  • Has good stakeholders management experience;
  • Attention to technical details;
  • Ability to deliver tasks on time with high quality outcome;
  • Self motivated and ability to take ownership;
  • Strong written and spoken communication skills.

Desired Skill-set

  • Azure Data Engineer Certified;
  • ITIL certified;
  • Prior experience in Python, R or Machine Learning tools.

Responsibilities

  • Design and develop data models, ETL pipelines, data integration process while ensuring data accuracy and quality;
  • Perform data analysis of structured and unstructured dataand perform business intelligence initiatives such as build user friendly reports using data visualization tools;
  • Analyze ETL requirements from users and provide solutions accordingly;
  • Responsible for planning and executing data profiling and data quality analysis;
  • Monitor data pipelines, databases and analytical processes to ensure smooth operations;
  • Identify and resolve data-related issues, performance bottleneck and data quality problems;
  • Design and document data catalogs and data architectures;
  • Perform regular data cleansing exercise to ensure that data is of high quality and relevant to the business needs;
  • Execute data transformation, correction and aggregations to ensure compliance with business / regulatory requests;
  • Build and maintain reports and dashboards using suitable data visualization tools;
  • Conduct analysis on the reports and translate the findings into valuable insightsto business users;
  • Prepare data for prescriptive and predictive modelling;
  • Perform database monitoring and performance tuning.

Should you be interested in this career opportunity, please send in your updated resume to [Confidential Information] at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE's website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

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