

Azure DE
Primary Responsibilities -
- Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
- Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure Create data models for analytics purposes
- Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations
- Use Azure Data Factory and Databricks to assemble large, complex data sets
- Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
- Ensure data security and compliance
- Collaborate with data engineers, and other stakeholders to understand requirements and translate them into scalable and reliable data platform architectures
Required skills:
- Blend of technical expertise, analytical problem-solving, and collaboration with cross-functional teams
- Azure DevOps
- Apache Spark, Python
- SQL proficiency
- Azure Databricks knowledge
- Big data technologies
The DEs should be well versed in coding, spark core and data ingestion using Azure. Moreover, they need to be decent in terms of communication skills. They should also have core Azure DE skills and coding skills (pyspark, python and SQL).
Out of the 7 open demands, 5 of The Azure Data Engineers should have minimum 5 years of relevant Data Engineering experience.

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Software Development Engineer – SDE 2.
As a Software Development Engineer at Amazon, you have industry-leading technical abilities and demonstrate breadth and depth of knowledge. You build software to deliver business impact, making smart technology choices. You work in a team and drive things forward.
Top Skills
You write high quality, maintainable, and robust code, often in Java or C++ or C#
You recognize and adopt best practices in software engineering: design, testing, version control, documentation, build, deployment, and operations.
You have experience building scalable software systems that are high-performance, highly-available, highly transactional, low latency and massively distributed.
Roles & Responsibilities
You solve problems at their root, stepping back to understand the broader context.
You develop pragmatic solutions and build flexible systems that balance engineering complexity and timely delivery, creating business impact.
You understand a broad range of data structures and algorithms and apply them to deliver high-performing applications.
You recognize and use design patterns to solve business problems.
You understand how operating systems work, perform and scale.
You continually align your work with Amazon’s business objectives and seek to deliver business value.
You collaborate to ensure that decisions are based on the merit of the proposal, not the proposer.
You proactively support knowledge-sharing and build good working relationships within the team and with others in Amazon.
You communicate clearly with your team and with other groups and listen effectively.
Skills & Experience
Bachelors or Masters in Computer Science or relevant technical field.
Experience in software development and full product life-cycle.
Excellent programming skills in any object-oriented programming languages - preferably Java, C/C++/C#, Perl, Python, or Ruby.
Strong knowledge of data structures, algorithms, and designing for performance, scalability, and availability.
Proficiency in SQL and data modeling.


You will get to own and build world-class, stable, secure and scalable solutions
Ownership, trust and flexibility comes with the job and you are expected to consistently raise the bar in terms of technical proficiency and quality of code.
You will get to work with a highly experienced team in a very informal, yet results-oriented environment
You should think consumer-first and have the ability to work in a dynamic and fast-paced environment
You will actively participate in defining stable and scalable engineering processes to meet the demands of a fast growing team.
3+ years hands-on application development experience in Python, Django, Flask & NodeJS
Highly proficient in SQL and NoSQL databases and Redis.
Should have a strong hands-on working knowledge on AWS services like EC2, S3, Route53, SES, SQS, SNS etc.
Should have successfully built and deployed complex and resource efficient backend APIs that work flawlessly at scale
Should be willing to take on responsibility and ownership and should be highly motivated and fun to work with :)
Experience in working at fast-paced startups is a big plus!
If you have the knowledge, experience and hunger to make a positive impact, we’d love to meet you.








