Sr Data Science Engineer

2 weeks ago

Pune, India FOLD HEALTH INDIA PRIVATE LIMITED Full time
Job DescriptionAs a Senior Data Science Engineer, you will play a critical role in designing, developing, and maintaining our data infrastructure and pipelines. Your expertise will drive the effective collection, storage, processing, and analysis of large-scale data sets, enabling actionable insights and data-driven decision-making across the organization. You will collaborate with cross-functional teams, including software engineers, and product managers, to deliver scalable and high-performance data solutions that support our growing product needs.

Job Description in breif -Design and Develop Data Solutions: Lead the end-to-end design and development of scalable, efficient, and reliable data pipelines and ETL workflows. Implement data integration processes from various sources to central data repositories.

Data Modeling and Architecture: Design and optimize data models for both structured and unstructured data, ensuring efficient data storage and retrieval. Evaluate and propose appropriate database technologies and data storage solutions.

Data Quality and Governance: Implement data quality checks and ensure data integrity across all data assets. Establish and maintain data governance practices to guarantee compliance with data security and privacy regulations.

Performance Optimization: Continuously monitor and enhance the performance of data pipelines, databases, and data processing systems to achieve optimal efficiency and low latency.

Big Data Technologies: Stay up-to-date with the latest trends and advancements in big data technologies, frameworks, and tools. Evaluate and introduce new technologies to improve data engineering processes.

Collaboration and Leadership: Collaborate with data scientists, analysts, and other stakeholders to understand their data needs and provide the necessary infrastructure and support. Mentor and guide junior data engineers to foster a high-performing data engineering team.

Documentation and Best Practices: Maintain comprehensive documentation for all data processes, methodologies, and configurations. Promote and enforce best practices in data engineering across the organization.

Troubleshooting and Support: Investigate and resolve data-related issues, including performance bottlenecks, data inconsistencies, and system failures.

Requirements

Requirements:

Bachelor's or master’s degree in computer science, Software Engineering, Data Science, or a related field.

Proven experience as a Data Engineer or similar role, with at least (4) years of hands-on experience in building large-scale data pipelines and data integration solutions.

Proficient in programming languages such as Python, Java, Scala, or similar, with a focus on data manipulation and processing.

Expertise in working with big data technologies like Bigquery, Redshift, Snowflak, Spark, Kafka, or similar distributed computing frameworks.

Strong experience with SQL and NoSQL databases, data warehousing, and data modeling techniques.

In-depth knowledge of cloud platforms like AWS, Azure, or Google Cloud, and experience with cloud-based data storage and processing services.

Familiarity with data security and privacy standards, as well as data governance practices.

Excellent problem-solving skills and the ability to analyze complex data-related issues.

Strong communication skills to collaborate effectively with cross-functional teams and stakeholders.

Experience with containerization technologies (e.g., Docker, Kubernetes) is a plus.

Certifications in relevant data engineering or cloud technologies are advantageous.

RequirementsAutomation Strategy: · Develop and execute the automation strategy, providing leadership in the selection and implementation of automation frameworks. · Collaborate with stakeholders to align automation efforts with overall testing and development goals. · Framework Design and Enhancement: · Design, enhance, and maintain scalable and modular automation frameworks for Selenium, Appium, and API testing. · Lead efforts to implement best practices in test automation, ensuring efficiency, reliability, and maintainability. Test Automation: Lead the development and execution of automated test scripts using Selenium, Appium, and API testing tools. Provide technical guidance to the automation team and ensure the coverage of critical test scenarios. Collaboration and Mentoring: Collaborate with cross-functional teams, including developers, QA engineers, and product managers, to drive automation initiatives. Mentor and provide technical leadership to automation engineers, fostering skill development and knowledge sharing. Quality Assurance Best Practices: Drive the implementation of best practices in quality assurance, ensuring adherence to industry standards and regulations. Conduct regular reviews of automation processes and provide recommendations for improvement. Continuous Integration and Deployment (CI/CD): Integrate automated tests into CI/CD pipelines to enable continuous testing and delivery. Collaborate with DevOps teams to enhance automation in the deployment process. Defect Management: Lead defect triage meetings, providing technical insights into identified issues. Work closely with development teams to prioritize and facilitate the resolution of defects. Training and Development: Conduct training sessions for the QA team and other stakeholders on automation best practices, tools, and technologies. Stay informed about emerging trends in automation and provide recommendations for skill development.

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