Job Title
A career opportunity exists for a Data Engineer to join our team.
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Job Description:
We are seeking an experienced Data Engineer with strong technical skills and a passion for delivering high-quality data solutions. As a Data Engineer, you will play a pivotal role in designing, building, and implementing scalable data solutions that drive significant business value. Your experience will enable you to comprehend and dissect business requirements, translating them into precise technical specifications.
You will work closely with other data and analytics professionals, program teams, management, and stakeholders to ensure the development process aligns seamlessly with the intended design and objectives. This includes collaborating on projects that involve data storage, integration, management, validation, and security, supporting the entire data asset lifecycle.
The ideal candidate will have knowledge of various technologies, including Databricks, Azure Data Factory, AWS Kinesis, Spark, and Airflow. They should also be proficient in transformation of large complex data sets from source systems to target platforms, with experience in Azure and AWS based solutions using one or more data engineering or data platform technologies required.
This is a mid-senior level position, requiring excellent communication skills and the ability to communicate and present information with purpose, clarity, and impact. The successful candidate will be able to introduce innovative ways of organizing, managing, and integrating data to ensure its quality and ability to be used as a distinctive asset to generate a return.
In addition to your technical skills, you will lead by example and model behaviors that support a culture of safety, health, and wellness.
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Required Skills and Qualifications:
* Knowledge of data pipeline development, including familiarity with various technologies such as Databricks, Azure Data Factory, AWS Kinesis, Spark, and Airflow.
* Proficiency in transformation of large complex data sets from source systems to target platforms, with experience in Azure and AWS based solutions using one or more data engineering or data platform technologies required.
* Experience in modern development practices, including use of code repositories, code review processes, and test frameworks.
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Benefits:
We offer a comprehensive benefits package, including a yearly wellness incentive, access to additional 8 weeks of flex leave per year, and family-friendly policies, including 26 weeks of gender-neutral paid parental leave.
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We value diversity, equity, and inclusiveness (DE&I) and encourage applications from people of all ages, nationalities, abilities, cultures, sexual orientations, and gender identities. We are committed to providing an equitable and barrier-free recruitment experience for all.