Senior Data Integration Engineer | YoE - 7+ | Bangalore Location

Role/Responsibility
Build web services and create integrations between applications using Snaplogic, Splunk, JSON, and HTML leveraging RESTful design principles
Develop business-critical solutions using both client-side and server-side technologies
Work as part of an Agile-scrum team to consistently deliver business relevant features, maintaining and owning whatever you deliver.
Research technologies that can be used to accelerate the building of our stack
Write code to integrate open source packages into our stack & components that we build ourselves
Write unit test code
Participate in regular design, code and test reviews
Deploy our service and test it
Collaborate with a team of engineers and product managers
Work closely with security teams to ensure best practices are followed
Investigate bug reports filed by our partners
Communicate effectively with immediate management about features, risks, benefits and progress
Write design documents and estimate schedule for the designated features
What you need to succeed
7+ years of experience in software development or IT
Proven experience using structured, disciplined approaches to solving technical, data, and logical problems at enterprise scale
Experience in designing, developing, testing, and deploying data integrations.
Experience with client-side technologies using HTML, CSS, JavaScript, XML, and AngularJS
Strong Java coding skills.
Focus on Quality (Unit Tests, Integration tests, Code Coverage) - experience with tools for e2e testing.
Experience with both relational, and NoSQL databases
Strong knowledge of infrastructure and application security
Experience with API and Web Services (REST/SOAP/Bulk)
Experience with a DevOps culture
Working knowledge of continuous integration systems
Strong RDMBS experience; JMS Knowledge
Hands-on experience and expertise in Advanced SQL, AWS and Other Data Engineering tools, SnapLogic and other open source tools.
Background in web services and systems integrations using HTTP and RESTful design principles
Solid understanding of software development models, web technologies, database concepts and modern service oriented architectures.
Understanding of version control systems like GitHub
Understanding of build tools like Jenkins, Maven, and ANT
Preferred 2+ years’ experience with the Agile methodology.
Preferred 2+ years’ experience with story/sprint tracking tools such as JIRA or equivalent
Preferred 1+ years’ experience supporting marketing automation or lead generation
Excellent verbal and written communication skills. Able to clearly articulate complex problems and solutions in terms that others can understand
Strong understanding of integrations between hosted services and on-premise enterprise applications a plus.
Strong understanding of API integration and lead management within Marketo
Experience in Databricks workspace, Databricks notebooks, Job cluster, Delta Lake, Databricks Lakehouse and Unity catalog
Experience on design and develop Data pipelines and ETL or ELT jobs to ingest and process data in data lake
Databricks certification is a plus

Work arrangement
Hybrid