Python Backend Developer

We are looking for a skilled and motivated Data Engineer with strong experience in Python programming and Google Cloud Platform (GCP) to join our data engineering team. The ideal candidate will be responsible for designing, developing, and maintaining robust and scalable ETL (Extract, Transform, Load) data pipelines. The role involves working with various GCP services, implementing data ingestion and transformation logic, and ensuring data quality and consistency across systems.

Key Responsibilities:

• Design, develop, test, and maintain scalable ETL data pipelines using Python.
• Work extensively on Google Cloud Platform (GCP) services such as:
• Dataflow for real-time and batch data processing
• Cloud Functions for lightweight serverless compute
• BigQuery for data warehousing and analytics
• Cloud Composer for orchestration of data workflows (based on Apache Airflow)
• Google Cloud Storage (GCS) for managing data at scale
• IAM for access control and security
• Cloud Run for containerized applications
• Perform data ingestion from various sources and apply transformation and cleansing logic to ensure high-quality data delivery.
• Implement and enforce data quality checks, validation rules, and monitoring.
• Collaborate with data scientists, analysts, and other engineering teams to understand data needs and deliver efficient data solutions.
• Manage version control using GitHub and participate in CI/CD pipeline deployments for data projects.
• Write complex SQL queries for data extraction and validation from relational databases such as SQL Server, Oracle, or PostgreSQL.
• Document pipeline designs, data flow diagrams, and operational support procedures.
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Required Skills:

• 4–8 years of hands-on experience in Python for backend or data engineering projects.
• Strong understanding and working experience with GCP cloud services (especially Dataflow, BigQuery, Cloud Functions, Cloud Composer, etc.).
• Solid understanding of data pipeline architecture, data integration, and transformation techniques.
• Experience in working with version control systems like GitHub and knowledge of CI/CD practices.
• Strong experience in SQL with at least one enterprise database (SQL Server, Oracle, PostgreSQL, etc.).

• Job Description

We are looking for a talented Platform Engineer with a strong background in Python programming and AWS services to join our growing team.

Responsibilities:

• Contribute to the development and maintenance of our cloud management platform
• Collaborate with cross-functional teams to define, design, and deliver new features and functionality.
• Provide technical support and guidance to internal and external stakeholders.
• Stay up-to-date with the latest industry trends and technologies.
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Requirements:

• A total of 2-4 years of professional experience in developing applications/platforms using Python programming
• Strong understanding of Object-Oriented Programming, SOLID principles and RDBMS.
• Demonstrated experience in utilizing AWS services, including Lambda, RDS, and DynamoDB.
• Strong understanding of cloud computing concepts, infrastructure, and architectural best practices.
• Experience in using source control systems, such as Git.
• Excellent problem-solving skills and the ability to debug complex systems.
• Strong communication skills, both written and verbal, with the ability to work effectively with team members and stakeholders.
• A constant hunger for learning and staying up-to-date with the latest industry advancements.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience.
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Nice to have:

• AWS Certified Developer – Associate or other relevant AWS certifications.
• Experience with the AWS Boto3 SDK for Python.
• Experience with other cloud platforms (Azure, GCP, etc.).
• Familiarity with containerization and orchestration technologies, such as Docker and Kubernetes.

At Egnyte we develop content governance and collaboration products that are deployed across several large companies such as Yamaha and Red bull. The Egnyte platform supports daily, business critical operations for a million-plus user base interacting with a multi-petabyte content set.

We store, analyze, organize, and secure billions of files and petabytes of data with millions of users. We observe more than 1M API requests per minute on average. To make that possible and to provide the best possible experience, we rely on great engineers. For us, people who own their work from start to finish are integral. Our Engineers are part of the process from design to code, to test, to deployment, and back again for further iterations.  

We’re looking for Senior Software Engineers and he should be able to take a complex problem and work with product managers, devops and other team members to execute end to end.

• Design and develop scalable cloud components that seamlessly integrates with on-premises systems.
• Challenge and redefine existing architecture or make 10x improvements in performance and scalability.
• Ability to foresee post-deployment design challenges, performance and scale bottlenecks.
• Hire and mentor junior engineers
• Doing code reviews, unit and performance testing of the code.
• Monitor and manage 3000+ nodes using modern DevOps tools and APM solutions.

• Demonstrated success designing and developing complex cloud based solutions
• Solid CS fundamentals with one or more areas of deep knowledge
• Experience with the following technologies: Java, SQL, Linux, Python, Nginx, Haproxy, BigQuery, HBase, New Relic, memcache, Elasticsearch, docker.
• Data driven decision process
• Relies on automation testing instead of manual QA
• Experience in working with Google cloud, AWS or Azure is preferred

Requirement :

• Good knowledge of Java and Spring F/W (Spring Boot, Spring Security, Spring ORM, Spring Rest, Spring Cloud)
• Good knowledge of relational database design and query via both SQL and ORM (hibernate, spring data)
• Good knowledge of ElasticSearch or other document-oriented database
• Good knowledge of Microservice architecture, including REST API design
• Good knowledge of asynchronous data pipelines using Kafka or AWS SNS/SQS or similar modern messaging framework
• Good knowledge of AWS or other public cloud environment
• Hands-on experience with Redis Cache, Memcache or Ehcache
• Good knowledge of domain-driven design is a huge plus
• Web services & API standards (REST/OAuth/JSON)

https://www.alivecor.com/">AliveCor, the pioneer of the smartphone EKG, with millions of EKGs from a large and growing user base, seeks a Senior Software Engineer (Backend). You will be an integral member of our engineering team.

• Software Engineer on the backend team working in the following environment: Go, Ruby on Rails, TDD/BDD with RSpec, PostgreSQL, Heroku, AWS. 
• Responsible for developing industry-leading applications transforming the healthcare industry and consumers use.
• Work with our mobile and front-end teams to build new functionality in our consumer and clinician-facing applications.
• Work with our Data Science and AI team to improve functionality of our cloud algorithms and services.
• Create and maintain tools used by internal teams for customer service, monitoring, and R&D.
• Maintain and continuously improve our backend infrastructure to remedy technical limitations before they become an issue.

• Senior Software Engineer ready to build highly visible apps
• Engineers who can raise the skill level of their teammates
• Experience working with Go and Rails
• Experience implementing Service Oriented Architecture or Microservices
• Good intuition for weighing trade-offs
• Product instincts, work with our product and design teams to understand customer pain points, come up with solutions, and then prototype, iterate, and launch frequently
• Eagerness and willingness to learn new technologies
• Experience with build process automation and CI/CD
• Ability to work independently on projects and communicate with cross functional teams to deliver products on time

AliveCor is on a mission to define modern healthcare through data, design and disruption. We’ve pioneered the creation of FDA-cleared machine-learning techniques, transformed wearable medtech to put proactive heart care at everyone’s fingertips. Kardia is the most clinically validated mobile EKG technology. AliveCor was named as one of the Top 10 Most Innovative Companies in Health for 2017 by Fast Company as part of the publication’s annual ranking of the world’s Most Innovative Companies. AliveCor was awarded the 2015 Tech Pioneer by the World Economic Forum and one of the 50 Smartest Companies in 2015 by the MIT Technology Review. AliveCor recently announced a collaboration with Mayo Clinic that will result in new machine learning capabilities to unlock previously hidden health indicators in EKG data, potentially improving heart health as well as overall health care for a variety of conditions. AliveCor is a privately held company headquartered in Mountain View, CA.

AliveCor is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, colour, disability, gender, national origin, race, religion, sexual orientation, or any other classification protected by federal, state, or local law.

Watch the following video demonstrating our product.