Senior Salesforce Developer

Join Our Journey

Jules develops an amazing end-to-end solution for recycled materials traders, importers and exporters. Which means a looooot of internal, structured data to play with in order to provide reporting, alerting and insights to end-users. With about 200 tables, covering all business processes from order management, to payments including logistics, hedging and claims, the wealth the data entered in Jules can unlock is massive. 

After working on a simple stack made of PostGres, SQL queries and a visualization solution, the company is now ready to set-up its data stack and only misses you. We are thinking DBT, Redshift or Snowlake, Five Tran, Metabase or Luzmo etc. We also have an AI team already playing around text driven data interaction. 

As a Data Engineer at Jules AI, your duties will involve both data engineering and product analytics, enhancing our data ecosystem. You will collaborate with cross-functional teams to design, develop, and sustain data pipelines, and conduct detailed analyses to generate actionable insights.

Roles And Responsibilities:

• Work with stakeholders to determine data needs, and design and build scalable data pipelines.
• Develop and sustain ELT processes to guarantee timely and precise data availability for analytical purposes.
• Construct and oversee large-scale data pipelines that collect data from various sources.
• Expand and refine our DBT setup for data transformation.
• Engage with our data platform team to address customer issues.
• Apply your advanced SQL and big data expertise to develop innovative data solutions.
• Enhance and debug existing data pipelines for improved performance and reliability.
• Generate and update dashboards and reports to share analytical results with stakeholders.
• Implement data quality controls and validation procedures to maintain data accuracy and integrity.
• Work with various teams to incorporate analytics into product development efforts.
• Use technologies like Snowflake, DBT, and Fivetran effectively.

Mandatory Qualifications:

• Hold a Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Possess at least 4 years of experience in Data Engineering, ETL Building, database management, and Data Warehousing.
• Demonstrated expertise as an Analytics Engineer or in a similar role.
• Proficient in SQL, a scripting language (Python), and a data visualization tool.
• Mandatory experience in working with DBT.
• Experience in working with Airflow, and cloud platforms like AWS, GCP, or Snowflake.
• Deep knowledge of ETL/ELT patterns.
• Require at least 1 year of experience in building Data pipelines and leading data warehouse projects.
• Experienced in mentoring data professionals across all levels, from junior to senior.
• Proven track record in establishing new data engineering processes and navigating through ambiguity.
• Preferred Skills: Knowledge of Snowflake and reverse ETL tools is advantageous.

Grow, Develop, and Thrive With Us

• Global Collaboration: Work with a dynamic team that’s making an impact across the globe, in the recycling industry and beyond. We have customers in India, Singapore, United-States, Mexico, Germany, France and more
• Professional Growth: a highway toward setting-up a great data team and evolve into a leader
• Flexible Work Environment: Competitive compensation, performance-based rewards, health benefits, paid time off, and flexible working hours to support your well-being.

Apply to us directly : https://nyteco.keka.com/careers/jobdetails/41442

• At least 4 to 7 years of relevant experience as Big Data Engineer
• Hands-on experience in Scala or Python
• Hands-on experience on major components in Hadoop Ecosystem like HDFS, Map Reduce, Hive, Impala.
• Strong programming experience in building applications/platform using Scala or Python.
• Experienced in implementing Spark RDD Transformations, actions to implement business analysis

Responsibilities:

• Designing and implementing fine-tuned production ready data/ML pipelines in Hadoop platform.
• Driving optimization, testing and tooling to improve quality.
• Reviewing and approving high level & amp; detailed design to ensure that the solution delivers to the business needs and aligns to the data & analytics architecture principles and roadmap.
• Understanding business requirements and solution design to develop and implement solutions that adhere to big data architectural guidelines and address business requirements.
• Following proper SDLC (Code review, sprint process).
• Identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery, etc.
• Building robust and scalable data infrastructure (both batch processing and real-time) to support needs from internal and external users.
• Understanding various data security standards and using secure data security tools to apply and adhere to the required data controls for user access in the Hadoop platform.
• Supporting and contributing to development guidelines and standards for data ingestion.
• Working with a data scientist and business analytics team to assist in data ingestion and data related technical issues.
• Designing and documenting the development & deployment flow.

Requirements:

• Experience in developing rest API services using one of the Scala frameworks.
• Ability to troubleshoot and optimize complex queries on the Spark platform
• Expert in building and optimizing ‘big data’ data/ML pipelines, architectures and data sets.
• Knowledge in modelling unstructured to structured data design.
• Experience in Big Data access and storage techniques.
• Experience in doing cost estimation based on the design and development.
• Excellent debugging skills for the technical stack mentioned above which even includes analyzing server logs and application logs.
• Highly organized, self-motivated, proactive, and ability to propose best design solutions.
• Good time management and multitasking skills to work to deadlines by working independently and as a part of a team.

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model.
• Expertise in backend programming with Node.js and MongoDB.
• Experience with React.js and redux.
• Material UI and 3rd party libraries.
• Experience with clean code writing practices like avoiding callback hell like promises, async.
• Thorough understanding of Node.js and its core principles.
• Experience with popular React.js workflows (such as Flux or Redux).
• Familiarity with newer specifications of ECMAScript.
• Experience with data structure libraries (e.g., Immutable.js).
• Familiarity with RESTful APIs.
• Knowledge of modern authorization mechanisms, such as JSON Web Token.
• Familiarity with modern front-end builds pipelines and tools.
• A knack for benchmarking and optimization.
• Familiarity with code versioning tools (such as Git, SVN, and Mercurial).

Responsibilities:

• Build Node.js APIs using microservices.
• Rewriting backend code with microservices architecture & Unit tests.
• Developing new user-facing features using React.js.
• Building reusable components and front-end libraries for future use.
• Translating designs and wireframes into high-quality code.
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers.

Good to have:

• EE Functional Knowledge and experience in QAD Implementation
• EE Customization experience
• ICT knowledge.
• Hands-on with QRF
• Qxtend handling knowledge
• Knowledge on Automotive / FMCG / Medical Devices / Industrial Manufacturing domains
• Good oral and written communication

Responsibilities:

• Techno-Functional consultant.
• Should be able to handle the tickets assigned on their own.

Technical Experience :

• 2-6 years of Python working experience
• Expertise in at least one popular Python framework /Django/ Flask
• Knowledge of object-relational mapping d
• Familiarity with front-end technologies JavaScript and HTML5

Key Responsibilities :

• Write effective, scalable code
• Develop back-end components to improve responsiveness and overall performance
• Integrate user-facing elements into applications
• Test and debug programs5 Improve functionality

Essential duties and responsibilities include the following. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Work on a remote cross-functional team where you’ll play a critical role in designing, planning, development, deployment and observing your code in production.   
• Develop high performance, highly scalable and accessible web applications. Our web app is used by over 20 million educators, students and parents worldwide.  
• Meet tight deadlines in a rapid application development environment.  
• Collaborate with Product Management, Design, and Operations teams to create and deliver tested features to production.  
• Collaborate with specialists across web, mobile, and operations to achieve a better user experience for our product.  
• Be able to assess and bring in industry information into your decisions and learn new technologies: AWS is releasing new tools every day, there are new open source libraries to vet and you will be a party to helping us vet and pick the best tool for the job.  
• Be willing to work in any area of the codebase if needed, this can include JavaScript/TypeScript/Node, PHP, Java or other technologies.  
• Help staff, build, and form the culture around a team of 5 engineers, a product manager, designer, QAs and associated supporting roles.

Qualifications include:

• Strong CS fundamentals including familiarity with data structures and especially the asynchronous challenges that face JavaScript developers today.   
• Experience developing in at least 2 server side languages (PHP, node.js, …)  
• Experience developing in at least 1 client side JS framework (ReactJS, Angular, …)  
• Experience testing software in alignment with the Test Pyramid.  
• Experience with datastores, either SQL (MySQL preferred) or NoSQL, and the ability to talk deeply about them.  
• Able to identify the source of complex problems occurring as a result of multiple systems interacting (experience with observability tools such as datadog/newrelic is a plus).   
• Experience working on a team of 5 engineers plus supporting roles (e.g. QA, design, etc), preferably as a Senior Software Engineer.  
• Experience with code review, being able to sign-off on another team member’s code ensuring high quality standards.  
• Be self-sustained even when tackling the highest profile, most difficult work across the organization.  
• Willingness to accept responsibility and be accountable not only for your own work but the work of the team as a whole.  
• Experience working with other people’s code, how to dig into it and make tactical changes with minimal side effects.  
• A solid understanding of how to break down user stories and give estimates that include accessibility and security requirements.  
• Be able to see roadblocks far ahead, across many vectors of risk  
• Be a true team player! Ensuring their knowledge and expertise is shared amongst other team members and even cross-team and be willing to seek out opportunities to mentor teammates.  
• A commitment to learning about anything you don’t know on your own and without much supervision.  
• Superior communications, organization and relationship building skills — you’re going to be working on cross-team efforts, so this is essential.  
• Self-motivation as well as ability and desire to learn new technologies, applications, processes, and environments.  
• A belief that delivering code to production is just one step in the process. Observing and owning the code you wrote goes hand in hand with construction.  
• A desire to take on whatever challenge is most important. This could be tackling something you are familiar with, or it could require a deep dive into a whole new world. The key is having the right attitude.