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Senior Data Engineer
2 weeks ago
We are seeking a seasoned and proficient Senior Data Engineer with substantial experience in cloud technologies to join our dynamic team. 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.
Job Description:
We are an ecommerce focused end to end data analytics firm assisting enterprises & brands in data driven decision making to maximize business value. Our suite of work spans extraction, transformation, visualization & analysis of data delivered via industry leading products, solutions & services. Our flagship product is Daton, an ETL tool. We have now ventured into building exciting ease of use data visualization solutions on top of Daton. And lastly, we have a world class data team which understands the story the numbers are telling and articulates the same to CXOs thereby creating value.
Responsibilities:
- 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
- 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
- Work closely with data scientists, analysts, and other teams to understand data requirements and provide technical support
- Create and maintain comprehensive documentation for data engineering processes, cloud architecture, and pipelines
Technical Skills:
- Programming Languages: Proficiency in Python for data engineering tasks, scripting, and automation
- Data Engineering Technologies: Extensive experience with data engineering frameworks like distributed data processing
- Cloud Platforms: 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
- SQL and Databases: Proficient in SQL with experience in working with relational databases (e.g., PostgreSQL, MySQL) and cloud-based database services
- Data Modeling: Strong understanding of data modeling principles and experience in designing effective data models
- Version Control: Familiarity with version control systems, such as Git, for tracking changes in code and configurations
- Containerization and Orchestration: Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes)
- Monitoring and Troubleshooting: Ability to implement monitoring solutions and troubleshoot issues in data pipelines
- Data Quality Assurance: Experience in implementing data quality checks and validation processes
- Agile Methodologies: Familiarity with agile development methodologies and practices
About Us:
We strive to make Saras a career and not a job for talented folks who have chosen to work with us. At this stage of our growth, we are able to offer challenging roles, state-of-the-art technology stack and cutting-edge projects to push your limits.
