Data Engineer

Bangalore, Karnataka
Permanent
Full-time

2 months ago

Job Description:Company OverviewDocusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).What you'll doAs a Data Engineer in the IAM Data Lake Team, you'll develop cutting-edge infrastructure for big data analytics on public cloud platforms, supporting high-concurrency customer-facing products. You should have independent experience building data lakes and warehouses, preferably on Azure. This role requires a hands-on approach to solving complex problems, collaborating with cross-functional teams, and continuously improving engineering practices. You'll work closely with product managers, developers, and platform engineers to deliver high-quality, timely product releases, focusing on features, performance, security, and accessibility.This position is an individual contributor role reporting to the Director of Engineering.Responsibility

Drive design, implementation, testing and release of products
Build big data pipelines and analytics infrastructure on Azure with Data Factory, Databricks, Event Hub, Data Explorer, Cosmos DB and Azure RDBMS platforms
Build secure networking and reliable infrastructure for High Availability and Disaster Recovery
Build big data streaming solutions with 100s of concurrent publishers and subscribers
Collaborate closely with Product, Design, and Engineering teams to build new features
Participate in an Agile environment using Scrum software development practices, code review, automated unit testing, end-to-end testing, continuous integration, and deployment
Think about how to solve problems at scale and build fault-tolerant systems that leverage telemetry and metrics
Investigate, fix, and maintain code as needed for production issues
Operate high reliability, high uptime service and participate in on-call rotation

Job DesignationHybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.What you bringBasic

BS degree in Computer Science, Engineering or equivalent
5+ years of experience within a software engineering related field
2+ years experience with Azure Data services , Azure Data Explorer, Azure Data Factory, Databricks, Event-hubs
2+ years experience with Data warehouse/ data modeling with RDBMS like SQL Server
Proficiency in cloud platform deployment with Azure ARM templates or Terraform
Experience using Git or other version control systems and CI-CD systems
Focus on writing high quality code that is easy to be maintained by others
Strong understanding and experience in agile methodologies

Preferred

Experience with Cosmos DB or No-SQL platforms
Experience building large data lakes and data warehouses
Proficiency in modern server- side development using modern programming languages like C# or others
Building cloud apps on Azure
Strong interest or documented experience in large scale microservice architectures on Kubernetes
Proficiency in big data processing in Apache Spark with Python or Scala
Proficiency in data streaming applications with Event Hub/Kafka Spark streaming
Proficiency in data pipeline orchestration with Data Factory or similar
A track record of being a self-starter - Individual/team responsibility is our main driver in the development work

Life at DocusignWorking hereDocusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day. At Docusign, everything is equal.We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you’ll be loved by us, our customers, and the world in which we live.AccommodationDocusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at .If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at for assistance.#LI-Hybrid #LI-SV6

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