Senior Cloud Data Scientist

About our analytics firm:

We are an ecommerce focused end to end data analytics company assisting enterprises & brands in making informed business decisions. Our suite of work spans extraction, transformation, visualization & analysis of data delivered via industry leading products, solutions & services.

Our flagship product is an ETL tool designed for seamless data processing and transfer.

We have now ventured into building exciting ease of use data visualization solutions on top of our flagship product.

Our team understands the story the numbers are telling and articulates the same to stakeholders creating value.

Where we are Today:

We are a 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 value talent & encourage growth, living by those values at all stages of our work without compromising on the value we create for customers.

The Role:

We are seeking a seasoned and proficient Senior 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.

Design, develop, and maintain scalable and efficient data pipelines using Python and cloud-based technologies.

Implement Extract, Transform, Load (ETL) processes to seamlessly move data from diverse sources into our cloud-based data warehouse.

Utilize cloud platforms (e.g., Google Cloud, AWS, Azure) to deploy, manage, and optimize data engineering solutions.

Leverage cloud-native services for storage, processing, and analysis of large datasets.

Collaborate with data scientists, analysts, and other stakeholders to design effective data models that align with business requirements.

Ensure the scalability, reliability, and performance of the overall data infrastructure on cloud platforms.

Continuously optimize data processes for improved performance, scalability, and cost-effectiveness in a cloud environment.

Monitor and troubleshoot issues, ensuring timely resolution and minimal impact on data availability.

Implement data quality checks and validation processes to ensure the accuracy and completeness of data in the cloud-based data warehouse.

Collaborate with cross-functional teams to identify and address data quality issues.

Key Responsibilities:

• Develop scalable and efficient data pipelines using Python and cloud-based technologies.
• Implement Extract, Transform, Load (ETL) processes to move data from diverse sources into our cloud-based data warehouse.
• Utilize cloud platforms (e.g., Google Cloud, AWS, Azure) to deploy, manage, and optimize data engineering solutions.
• Collaborate with data scientists, analysts, and other stakeholders to design effective data models that align with business requirements.

We are looking for someone with:

• Strong command of Python for data engineering tasks, scripting, and automation.
• Extensive experience with data engineering frameworks like distributed data processing.
• Understanding and hands-on experience with workflow management tools like Apache Airflow.
• In-depth knowledge and hands-on experience with at least one major cloud platform: AWS, Azure, or Google Cloud.
• Familiarity with cloud-native services for data processing, storage, and analytics.
• Proven expertise in designing and implementing Extract, Transform, Load (ETL) processes.
• Proficient in SQL with experience in working with relational databases (e.g., PostgreSQL, MySQL) and cloud-based database services.
• Strong understanding of data modeling principles and experience in designing effective data models.
• Familiarity with version control systems, such as Git, for tracking changes in code and configurations.
• Experience using collaboration and project management tools for effective communication and project tracking.

As a member of our team, you can expect:

• A dynamic and supportive work environment.
• Ongoing training and professional development opportunities.
• A competitive compensation package.

This is a unique opportunity to join a fast-growing organization and contribute to shaping the future of data analytics. If you possess the required technical skills and are passionate about leveraging cloud technologies for data engineering, please submit your resume and a cover letter highlighting your technical expertise and relevant experience.