Data Science Specialist
2 weeks ago
We are seeking a skilled Data Science Specialist to drive data excellence and innovation in our organization. As a thought leader in data engineering and analytics principles, you will be responsible for designing, building, and optimizing our data infrastructure while ensuring cost efficiency, security, and scalability.
The ideal candidate will have strong expertise in Databricks, AWS, and cost optimization strategies. They will also have hands-on experience with ETL pipelines, incremental data loads, and large-scale data processing.
You will play a crucial role in managing Databricks and AWS usage, ensuring resource utilization stays within allocated budgets and taking corrective actions when necessary.
Responsibilities- Act as a thought leader in data engineering and analytics, driving best practices and standards.
- Oversee cost management of Databricks and AWS, ensuring resource usage stays within allocated budgets and taking corrective actions when necessary.
- Design, implement, and optimize ETL pipelines for incremental data loading, ensuring seamless data ingestion, transformation, and performance tuning.
- Lead migration activities, ensuring smooth transitions while maintaining data integrity and availability.
- Handle massive data loads efficiently, optimizing storage, compute usage, and query performance.
- Adhere to Git principles for version control, ensuring best practices for collaboration and deployment.
- Implement and manage DSR (Airflow) workflows to automate and schedule data pipelines efficiently.
- Ensure data security and compliance, especially when handling PII data, aligning with regulations like GDPR and HIPAA.
- Optimize query performance and data storage strategies to improve cost efficiency and speed of analytics.
- Collaborate with data analysts and business stakeholders to enhance analytics capabilities, enabling data-driven decision-making.
- Develop and maintain dashboards, reports, and analytical models to provide actionable insights for business and engineering teams.
- Four-year or Graduate Degree in Computer Science, Information Systems, or any other related discipline or commensurate work experience or demonstrated competence.
- 6-11 years of experience in Data Engineering, Analytics, Big Data, or related domains.
- Strong expertise in Databricks, AWS (S3, EC2, Lambda, RDS, Redshift, Glue, etc.), and cost optimization strategies.
- Hands-on experience with ETL pipelines, incremental data loads, and large-scale data processing.
- Proven experience in analyzing large datasets, deriving insights, and optimizing data workflows.
- Strong knowledge of SQL, Python, PySpark, and other data engineering and analytics tools.
- Strong problem-solving, analytical, and leadership skills.
- Experience with BI tools like Tableau, Looker, or Power BI for data visualization and reporting.
This is an exciting opportunity for a talented individual to join our team and contribute to the development of our data infrastructure. If you have a passion for data engineering and analytics, we encourage you to apply.
Other InformationThis job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
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