Offer summary

Qualifications:

Bachelor's degree in Computer Science, Engineering, or a related field., 5+ years of experience in data engineering roles., Strong proficiency in Python and experience with big data technologies like Apache Spark and Hadoop., Solid understanding of relational and NoSQL databases, along with cloud technology experience, particularly with AWS..

Key responsabilities:

Design, build, and maintain scalable data pipelines and ETL processes.

Implement and manage robust data architectures for data modeling, security, and governance.

Collaborate with data scientists to create and manage machine learning frameworks.

Monitor data operations to troubleshoot issues and ensure seamless data workflow.

Job description

Join a pioneering tech company that is revolutionizing the way data is leveraged across industries. Our platform is built to assimilate data from multiple sources, enabling stakeholders to make informed decisions rapidly and accurately. As we gear up for our next growth phase, we seek a highly skilled Data Engineer to shape and refine our data architecture, pipelines, and infrastructure.

Role Overview

We are on the lookout for a dedicated Data Engineer to join our team and drive the development of our data processing and transformation workflows. The ideal candidate should possess an analytical mindset, strong technical expertise, and a passion for solving complex data challenges. You will work closely with cross-functional teams to ensure data integrity and availability, contributing significantly to the core of our data-driven initiatives.

Key Responsibilities

Design, build, and maintain scalable data pipelines and ETL processes to handle large volumes of data efficiently.
Implement and manage robust data architectures that adhere to best practices for data modeling, security, and governance.
Work alongside data scientists to create and manage machine learning and data processing frameworks.
Optimize data retrieval, ensuring high performance and reliability across data systems.
Utilize cloud platforms (AWS) to develop data storage and processing solutions.
Monitor data operations to troubleshoot and resolve issues effectively and prevent future occurrences.
Collaborate with cross-functional teams to integrate various data sources and ensure seamless data workflow.

Required Skills and Qualifications

Bachelor's degree in Computer Science, Engineering, or a related field.
5+ years of experience in data engineering roles.
Strong in Python, with strong scripting and automation skills.
Experience with big data technologies such as Apache Spark, Hadoop, or similar frameworks.
Familiarity with data modeling concepts and tools (e.g., ERD, UML).
Hands-on experience with ETL tools and data integration techniques.
Solid understanding of relational (SQL Server, PostgreSQL) and NoSQL databases (MongoDB, Cassandra).
Strong cloud technology experience with AWS, Terraform, Looker, Snowflake, and Data Modeling.
Experience with version control systems such as Git.

Preferred Qualifications

Experience with data mining and machine learning algorithms.
Knowledge of containerization technologies such as Docker and orchestration platforms like Kubernetes.
Background in financial or travel industries is a plus.
Strong problem-solving skills and ability to implement solutions independently.
Familiarity with Agile methodologies and team collaboration tools.

We offer an environment where innovation is at the forefront, with opportunities for professional growth and advancement. If you are passionate about data and eager to make an impact with your expertise, we invite you to join our team.

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