Job Summary:
Seeking a talented Data Engineer to build and deploy data pipelines and scalable machine learning models. This role collaborates with data scientists and software engineers to translate research prototypes into robust, production-ready solutions.
Mandatory Skill-set:
Must have a Degree in Information Technology, Computer Science or related studies;
Must have at least 5 years of experience as Data Engineer;
Must have work experience in designing, building, and maintaining scalable and interactive dashboards using BI tools such as Power BI, Tableau, or Looker;
Must have hands-on experience in Python and SQL;
Must have work experience in applying ETL/ELT tools and methodologies to prepare, transform, and load data into designated target systems.
Desired Skill-set:
Familiarity with data governance frameworks (e.g., DAMA-DMBOK) and regulatory compliance (e.g., GDPR, CCPA);
Experience with other programming languages (e.g., Java, Scala, C++) is a plus;
Experience in best practices such as DataOps and MLOps;
Experience with big data technologies and cloud platforms such as BigQuery, Kafka, GCP, AWS and their data engineering and machine learning products and services;
Strong understanding of software development best practices, including version control (Git), testing, and CI/CD;
Cloud and data certifications are advantageous.
Responsibilities:
Design and maintain cloud-based data platforms for large-scale ingestion, storage, and processing;
Manage enterprise data warehousing and centralized data solutions;
Evaluate and integrate new data technologies to enhance platform capabilities;
Support infrastructure for enterprise data platforms and machine learning workloads;
Build and maintain reliable data pipelines for ingestion, transformation, and processing;
Implement data quality validation and monitoring to ensure accurate and timely data;
Apply ETL/ELT methodologies to transform and load data into target systems;
Develop scalable dashboards and reporting solutions using BI tools (Power BI, Tableau, Looker);
Implement data governance practices, including cataloging, lineage, and access controls;
Collaborate with stakeholders and team members while proactively resolving technical issues.
Should you be interested in this career opportunity, please send in your updated resume to
apply@sciente.com
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.
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