As a Senior Data Developer, you'll be part of a data analytics engineering team responsible for building and maintaining the analytics data infrastructure. Your key responsibilities will include.
- Understanding business requirements and translating them into technical specifications.
- Designing and developing data models and creating scalable data products primarily using SQL or Python.
- Collaborating closely with cross-functional teams, including business stakeholders, BI analysts, and other data developers.
- Profiling, cleansing, and joining data to build data products that meet business requirements.
- Troubleshooting and resolving issues related to data quality, completeness, and data pipeline.
- Identifying root causes of poor code performance and optimizing code, data structures, and configurations.
- Supporting multiple ongoing projects in a fast-paced global environment.
- Designing and implementing any stage of an end-to-end data pipeline, including data ingestion, processing, transformation, and storage.
Required Skills & Experience
- Minimum 8 years of experience in data engineering or related roles, with expertise in data warehousing, modeling, access, and storage techniques.
- Strong communication and collaboration skills, essential for working closely with Product Owners and Stakeholders to ensure alignment during design and development.
- Proficiency in SQL or Python with at least 8 years of hands-on experience, including the ability to read, understand, and modify complex queries.
- Experience with cloud platforms such as Databricks and Azure, along with proficiency in cloud services like Azure Data Factory.
- Familiarity with AI tools like ChatGPT or Copilot for efficient code development and optimization is advantageous.
- Excellent problem-solving skills, with the ability to analyze complex data issues and implement effective solutions.
Join Us. If you're ready to leverage your expertise in data engineering to drive impactful decision-making processes in a multi-billion-dollar business, apply now! Join our team and be part of an exciting journey of innovation and growth in the world of data analytics.