About Saras Analytics:
Where we are Today:
We are a boot strapped, profitable & fast growing (2x y-o-y) startup with old school value systems. We play in a very exciting space which is intersection of data analytics & ecommerce both of which are game changers. Today, the global economy faces headwinds forcing companies to downsize, outsource & offshore creating strong tail winds for us. We are an employee first company valuing talent & encouraging talent and live by those values at all stages of our work without comprising on the value we create for our customers. We strive to make Saras a career and not a job for talented folks who have chosen to work with us.
The Role:
We are seeking a seasoned and proficient Senior Python Data Engineer with substantial experience in cloud technologies. As a pivotal member of our data engineering team, you will play a crucial role in designing, implementing, and optimizing data pipelines, ensuring seamless integration with cloud platforms. The ideal candidate will possess a strong command of Python, data engineering principles, and a proven track record of successful implementation of scalable solutions in cloud environments.
Responsibilities:
1. Data Pipeline Development:
2. Cloud Integration:
3. Data Modelling and Architecture:
4. Optimization and Performance:
5. Quality Assurance:
6. Collaboration and Communication:
7. Documentation:
Technical Skills:
1. Programming Languages: Proficiency in Python for data engineering tasks, scripting, and automation.
2. Data Engineering Technologies:
3. Cloud Platforms:
4. ETL Processes: Proven expertise in designing and implementing Extract, Transform, Load (ETL) processes.
5. SQL and Databases: Proficient in SQL with experience in working with relational databases (e.g., PostgreSQL, MySQL) and cloud-based database services.
6. Data Modeling: Strong understanding of data modeling principles and experience in designing effective data models.
7. Version Control: Familiarity with version control systems, such as Git, for tracking changes in code and configurations.
8. Collaboration Tools: Experience using collaboration and project management tools for effective communication and project tracking.
9. Containerization and Orchestration: Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes).
10. Monitoring and Troubleshooting: Ability to implement monitoring solutions and troubleshoot issues in data pipelines.
11. Data Quality Assurance: Experience in implementing data quality checks and validation processes.
12. Agile Methodologies: Familiarity with agile development methodologies and practices.
Soft Skills:
If you possess the required technical skills and are passionate about leveraging cloud technologies for data engineering, we encourage you to apply. Please submit your resume and a cover letter highlighting your technical expertise and relevant experience.
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