Bangalore, Karnataka, India
Information Technology
Full-Time
griddable.io
Overview
Description
Our aspiration is to create a workplace that looks like society — where everyone feels seen, heard, valued, and empowered to succeed. We put this into action with the Salesforce India Return to Work Program, which provides women who have taken a career break a platform and opportunity to jumpstart their professional journey.
It is a six months program on third party contract and over the course of six months, program participants will work within Salesforce's Technology, Sales, or Customer Success team, receive on-the-job training from Salesforce leaders, and be paired with a mentor to help navigate their career.Org OverviewThe Data Solutions Organization is Salesforce's cornerstone for fostering growth and margins through unparalleled data insights. From robust governance to strategic execution, we support data pioneers with an unbiased approach. Our Enterprise Data Strategy builds a solid data foundation, fostering a culture of data-driven decisions. We ensure end-to-end quality through a cohesive data supply chain. By deploying and integration platform tools, we enable seamless data access and automated data management driving efficiency and growth with actionable insights. As a steadfast partner, we shape a data ecosystem that fuels innovation. Our commitment to integrity and accessibility propels informed decision-making, propelling Salesforce to new heights of excellence.Responsibilities
Work closely with cross-functional teams across geographies and responsible to develop enterprise level quality applications.
Participate in product and feature design with product team and business partners
Manage data uploads, feeds, and other integrations
Coordinate the evaluation, scope, and completion of new development requests.
Assess the impact of new requirements and all upstream and downstream applications, systems, and processes
Responsible for proposing and developing the tools and testing frameworks requirements, to improve engineers productivity in environment setup, testing automation.
Responsible to build, enhance, monitor and maintain necessary test automation infrastructure to support this effort.
Monitor product and feature-level quality health metrics (testability, test health, test coverage, etc.)
Be responsive to bugs and prioritised customer investigations.Must Have Skills:
5+ years of experience in building data integration frameworks.
Extensive understanding of Software engineering principles - OO design, design patterns, data modelling
Understanding how to design algorithms and processes that can be parallelized for efficient distributed computing
Extensive understanding of Python programming, Microservices, APIs
Knowledge of data serialization formats for efficient data transfer and storage -JSON, XML, Protocol Buffers
SQL and NoSQL Databases: Understanding of relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra) for storing and retrieving processed data.
Experience Unit Testing Frameworks & Tools like TestNG, JUnit, JMeter and Apex Unit testing frameworks
Knowledge of Containerization tools such as Docker, Kubernetes
Knowledge of Git, Jenkins, Ant, Maven, or other similar technologies
Experience with CI/CD
Expertise Working With Agile/Scrum MethodologiesGood To Have Skills
Skills in handling real-time data streams and designing systems that can process data in near real-time - Kafka, Storm
Knowledge in data observability techniques, focusing on monitoring, tracking, and ensuring data quality and reliability in software systems
Our aspiration is to create a workplace that looks like society — where everyone feels seen, heard, valued, and empowered to succeed. We put this into action with the Salesforce India Return to Work Program, which provides women who have taken a career break a platform and opportunity to jumpstart their professional journey.
It is a six months program on third party contract and over the course of six months, program participants will work within Salesforce's Technology, Sales, or Customer Success team, receive on-the-job training from Salesforce leaders, and be paired with a mentor to help navigate their career.Org OverviewThe Data Solutions Organization is Salesforce's cornerstone for fostering growth and margins through unparalleled data insights. From robust governance to strategic execution, we support data pioneers with an unbiased approach. Our Enterprise Data Strategy builds a solid data foundation, fostering a culture of data-driven decisions. We ensure end-to-end quality through a cohesive data supply chain. By deploying and integration platform tools, we enable seamless data access and automated data management driving efficiency and growth with actionable insights. As a steadfast partner, we shape a data ecosystem that fuels innovation. Our commitment to integrity and accessibility propels informed decision-making, propelling Salesforce to new heights of excellence.Responsibilities
Work closely with cross-functional teams across geographies and responsible to develop enterprise level quality applications.
Participate in product and feature design with product team and business partners
Manage data uploads, feeds, and other integrations
Coordinate the evaluation, scope, and completion of new development requests.
Assess the impact of new requirements and all upstream and downstream applications, systems, and processes
Responsible for proposing and developing the tools and testing frameworks requirements, to improve engineers productivity in environment setup, testing automation.
Responsible to build, enhance, monitor and maintain necessary test automation infrastructure to support this effort.
Monitor product and feature-level quality health metrics (testability, test health, test coverage, etc.)
Be responsive to bugs and prioritised customer investigations.Must Have Skills:
5+ years of experience in building data integration frameworks.
Extensive understanding of Software engineering principles - OO design, design patterns, data modelling
Understanding how to design algorithms and processes that can be parallelized for efficient distributed computing
Extensive understanding of Python programming, Microservices, APIs
Knowledge of data serialization formats for efficient data transfer and storage -JSON, XML, Protocol Buffers
SQL and NoSQL Databases: Understanding of relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra) for storing and retrieving processed data.
Experience Unit Testing Frameworks & Tools like TestNG, JUnit, JMeter and Apex Unit testing frameworks
Knowledge of Containerization tools such as Docker, Kubernetes
Knowledge of Git, Jenkins, Ant, Maven, or other similar technologies
Experience with CI/CD
Expertise Working With Agile/Scrum MethodologiesGood To Have Skills
Skills in handling real-time data streams and designing systems that can process data in near real-time - Kafka, Storm
Knowledge in data observability techniques, focusing on monitoring, tracking, and ensuring data quality and reliability in software systems
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