Job Summary:
We are looking for a highly skilled Senior Analytics / Data Engineer with a strong background in analytics engineering, data modeling, and cloud-based data solutions. The ideal candidate will have a unique blend of technical expertise, business acumen, and strong communication skills to effectively convey complex data concepts to both technical and non-technical audiences.
Key Responsibilities:
- Design, develop, and optimize data models and transformation pipelines to support business analytics.
- Implement and maintain data warehousing solutions on cloud platforms such as AWS, Azure, or GCP.
- Develop, optimize, and maintain high-performance SQL queries for analytics and reporting.
- Work with data orchestration platforms like Databricks, Apache Airflow, or AWS Glue to streamline workflows.
- Apply dimensional modeling techniques (e.g., star and snowflake schemas) to structure data efficiently.
- Utilize data transformation tools like dbt (data build tool) to improve data processing workflows.
- Collaborate with business stakeholders to translate requirements into scalable data solutions.
- Develop and maintain data visualization dashboards using tools like Tableau or Power BI.
- Ensure data quality, governance, and security best practices are followed.
- Optimize data pipelines and query performance to improve efficiency and scalability.
Qualifications & Experience:
- 10+ years of experience in analytics engineering or related data engineering roles.
- Strong SQL proficiency and expertise in data modeling.
- Hands-on experience with data warehousing technologies and cloud platforms (AWS, Azure, or GCP).
- Deep understanding of analytics and data engineering concepts, tools, and technologies.
- Experience with data orchestration platforms (Databricks, Airflow, Glue) is a plus.
- Proficiency in data transformation tools like dbt is a plus.
- Knowledge of dimensional modeling techniques (star and snowflake schemas).
- Experience with data visualization tools such as Tableau, Power BI.
- Ability to work with large datasets and ensure high performance and scalability.
- Strong problem-solving skills and the ability to communicate complex data concepts to both technical and non-technical stakeholders.
Preferred Skills:
- Experience in real-time and streaming analytics.
- Exposure to big data frameworks and modern data architectures.
- Strong ability to work cross-functionally with business teams to drive data-driven decisions.
If you have a passion for building scalable data solutions and delivering business impact through analytics, we’d love to hear from you!
Please reach-out to h1b@infyshine.com