Join our team as a Data Engineer and play a pivotal role in shaping our data landscape. You will be instrumental in designing, building, and maintaining robust data solutions that drive data generation, collection, and processing. This role offers a fantastic opportunity to contribute to a data-driven culture and implement cutting-edge ETL processes.

Your expertise will be crucial in ensuring data integrity and facilitating seamless data migration across various systems. By collaborating with diverse teams, you'll help translate complex data requirements into scalable and effective solutions, aligning with the company's strategic objectives.

As a Data Engineer, you will architect and construct foundational data infrastructure and comprehensive end-to-end solutions. Your contributions will empower the business to maximize the value derived from data, fostering a data-centric mindset across IT and business units.

You will be responsible for designing and developing data solutions, acting as a subject matter expert, and mentoring junior engineers. Key activities include coordinating change management, incident, and problem management processes, as well as presenting findings and driving implementation efficiency to minimize costs and maximize value delivery.

We are seeking a seasoned Data Engineer with a minimum of 2-5 years of experience. Essential technical proficiencies include Microsoft Azure Databricks, alongside a strong understanding of AWS, Azure, and SAP ecosystems. Expertise in ELT, Data Modeling, Data Integration, Data Manipulation, and Processing is vital.

Familiarity with tools such as GITHUB, Action, Azure DevOps, Data Factory, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, and Redshift is required. A commitment to continuous learning and a deep curiosity for data are highly valued in this role. The ability to communicate effectively with both technical and business stakeholders is also crucial.