The Data Engineering Engineer collaborates with a multidisciplinary Agile team to build high-quality data pipelines that drive analytic solutions. This role focuses on integrating and managing data to generate insights, enabling advanced data-driven decision-making capabilities.

How you will contribute:

* Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals

* Define data requirements, gather and mine large-scale structured and unstructured data, and validate data using various data tools in the Big Data Environment

* Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value

* Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve productivity

* Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes

* Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives

* Mentor and coach other data and analytic professionals on data standards and practices

SKILLS AND QUALIFICATIONS:

* Expert in designing and maintaining scalable data architectures, capable of handling complex data systems.

* Proficient in SQL and other data manipulation languages, with a strong ability to optimize and troubleshoot queries.

* Skilled in DevOps practices and continuous integration to enhance workflow efficiencies.

* Experienced in software development methodologies, contributing to both project and operational goals.

* Knowledgeable in data structures and algorithms, enhancing data processing and storage solutions.

* Familiar with distributed data technologies like Spark and Hadoop, capable of managing large-scale data operations.

* Efficient in system integration, ensuring seamless data flow and connectivity across platforms.

* Proficient in programming languages such as Python, Scala, Java, and C++, applying them effectively in data engineering tasks.

* Experienced in SQL database management, performance tuning, and complex query handling.

* Skilled in cloud platform deployment and tools like Kubernetes, optimizing cloud-based data solutions.

* Capable of performing advanced troubleshooting and guiding others through complex problem-solving processes.

* Advanced in PL/SQL and MongoDB, providing guidance and advice on complex database programming and optimization.