Job details
Job Title – AWS Data Engineer Min Exp – 5-10 years Work Mode : Remote Notice : Immediate/ Less than 15 days About Company : Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact’s offers (and more): data marketing, data governance, strategy consulting, product owner… Key Responsibilities: Work with cross-functional teams to build and maintain data pipelines and project infrastructure Manage end-to-end data engineering tasks, including data ingestion, transformation, and integration with the data lake Ensure data quality and perform data transformations within the AWS ecosystem Support CDP-related initiatives, particularly involving AWS cloud services and popular marketing and analytics platforms Required Skills and Experience: AWS Data Engineering: Hands-on experience with AWS S3, Glue, Lambda, Redshift and other AWS services for IAM, Networking and cloud Security SQL: Ability to write and optimize complex SQL queries Python: Experience in Python for data processing and automation tasks CDP: Familiarity with Customer Data Platforms, preferably Treasure Data Version Control: Knowledge of tools like Jenkins and Bitbucket for CI/CD Additional Skills: Data Modelling: Experience in creating and maintaining data models for large-scale environments Big Data Technologies: Familiarity with Databricks and other big data processing frameworks Cloud Security & Compliance: Knowledge of cloud security best practices, data encryption, IAM (Identity and Access Management), and compliance (e.g., GDPR, CCPA) Workflow Orchestration: Familiarity with Apache Airflow or AWS Step Functions for managing complex data workflows Qualifications : Proven experience in delivering data engineering projects, ideally within large organizations Ability to take ownership of tasks and work independently in an individual contributor role No strict educational background requirements, but strong hands-on experience in delivering projects with diverse teams is essential Why Join Us:
- Work on high-impact data solutions that drive decision-making across markets.
- Collaborate with a global team of experts in data engineering, data science, and business analysis.
- Enjoy a dynamic and collaborative work environment with opportunities for continuous learning.
- Be part of a team that values innovation, quality, and proactive problem-solving.
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