Careers

• Coordinate with business stakeholders to ensure solutions requirements and quality is honed within the development cycle.
• Developing new business initiatives by coordinating with design team and working on websites as per the defined scripting code.
• Developing full-fledged website with variety of content, ensuring that it is fully optimized with standard navigation tools, HTML scripts and CSS Framework.
• Monitoring the quality of the front-end code, complying the designs as per suggested Lilly specified guidelines, and ensuring its compliance with the Lilly technical standards.
• Designing reusability components in vue.js framework.
• Maintaining the web integration controls by providing proper CSS framework, identifying and resolving the issues related with web usage interface if needed and performing troubleshooting on all scripts related front end loading issues.
• Implementing effective user integration and documenting all processes involved in web development for preparing component user integrated website.
• Designing SCSS style sheets for the website, collaborating with the application developer for developing various customized web design system, developing HTML pages for various browsers, along with incorporating new features on the websites.
• Performing Unit tests for browser compatibility on created designs, checking its quality performance, etc., for creating complete user responsive front-end interface.
• Configuring Mocha/Chai test frameworks for front-end testing.
• Report status of projects via written and verbal communication as well as through tracking tools (JIRA) to other team members and other group disciplines within the company.
• Working as a part of development team in an agile environment with new iterations every week, with open communication with Project Managers, DDL’s, Testers and other team members.
• Coordinating with DDL’s for developing various Lilly Enterprise websites with elaborate features, responsive designs and user-based navigation options in it.

Degree Requirement: A minimum of a bachelor’s degree in Computer Science, Computer Information Systems, Information Technology, or a closely related field , or a combination of education and experience equating to the U.S. equivalent of a Bachelor’s degree in one of the aforementioned subjects.

The Software Engineer will contribute to the evolutionary development of advanced analytics and decision support software across all aspects of the development life cycle, working closely with product development engineers and business domain experts.

Skills, experience and qualifications required:

• Good knowledge of CI/CD pipelines for API / SPAs / Mobile Apps
• Excellent knowledge of tracking tools such as Jira, QC/Quality Center, TeamTrack or similar
• Knowledge of different testing methodologies - eg V model, WaterfallAgile,approach
• Desirable experience includes using QTP, Selenium, Test Complete, Unit, JMock, JSUnit, Fitnesse or equivalent tools
• Good experience in Test Management and bug tracking tools
• Good knowledge in mobile testing using IOS and Android platform
• Performance & Automation testing experience (ideally)
• Knowledge in programming (Java/Microsoft platform) and database skills (SQL, ETL, Business Intelligence) and cloud platforms like AWS and Azure
• Candidate must have a relevant degree
• Relevant certifications will be an added advantage
• Candidate must have extensive experience on relevant skills

• Gather Requirements from business groups and analyzing design solutions that automate and optimize business process using Python, Django, Hadoop, Hive, MySQL and Spark application
• Develop web applications in python and Django for Data and provide reports and manage infrastructure.
• Write test cases in python for unit testing as well as ETL testing.
• Work on processing large datasets of different forms including structured, semi-structured and unstructured data.
• Develop rest API’s using python with Django rest framework.
• Develop necessary documentation for custom modifications, work with development team to achieve new functionality without interrupting normal business cycle.

Education Requirement: Bachelor’s Degree in Computer Science, Computer Information Systems, Information technology, or related, or a combination of education and experience equating to the U.S. equivalent of a Bachelor’s degree in one of the aforementioned subjects.

• Previous experience as a data engineer or in a similar role
• Technical expertise with data models, data mining, and segmentation techniques
• Knowledge of programming languages  (e.g. Java and Python)
• Hands-on experience with SQL database design
• Great numerical and analytical skills
• Degree in Computer Science, IT, or similar field; a Master’s is a plus
• Data engineering certification (e.g IBM Certified Data Engineer) is a plus
• The developer must have sound knowledge in Apache Spark and Python programming.
• Deep experience in developing data processing tasks using pySpark such as reading data from external sources, merge data, perform data enrichment and load in to target data destinations.
• Experience in deployment and operationalizing the code is added advantage.

We are looking to hire a talented big data engineer to develop and manage our company’s Big Data solutions. In this role, you will be required to design and implement Big Data tools and frameworks, implement ELT processes, collaborate with development teams, build cloud platforms, and maintain the production system.

To ensure success as a big data engineer, you should have in-depth knowledge of Hadoop technologies, excellent project management skills, and high-level problem-solving skills. A top-notch Big Data Engineer understands the needs of the company and institutes scalable data solutions for its current and future needs.

Big Data Engineer Responsibilities:

• Meeting with managers to determine the company’s Big Data needs.
• Developing Hadoop systems.
• Loading disparate data sets and conducting pre-processing services using Hive or Pig.
• Finalizing the scope of the system and delivering Big Data solutions.
• Managing the communications between the internal system and the survey vendor.
• Collaborating with the software research and development teams.
• Building cloud platforms for the development of company applications.
• Maintaining production systems.
• Training staff on data resource management.

Big Data Engineer Requirements:

• Bachelor’s degree in computer engineering or computer science.
• Previous experience as a big data engineer.
• In-depth knowledge of Hadoop, Spark, and similar frameworks.
• Knowledge of scripting languages including Java, C++, Linux, Ruby, PHP, Python, and R.
• Knowledge of NoSQL and RDBMS databases including Redis and MongoDB.
• Familiarity with Mesos, AWS, and Docker tools.
• Excellent project management skills.
• Good communication skills.
• Ability to solve complex networking, data, and software issues.

We are searching for a decisive and insightful DevOps engineer to join our reputable company. The DevOps engineer will be involved in various stages of each product's lifespan and should remain abreast of technological advancements to promote efficiency. You should also keep track of customer reviews to enhance marketability.

To ensure success as a DevOps engineer, you should ensure that all outputs remain safe for public consumption. Ultimately, a top-notch DevOps engineer will demonstrate excellent leadership skills and the capacity to mentor junior staff.

DevOps Engineer Responsibilities:

• Collaborating with coworkers to conceptualize, develop, and release software.
• Conducting quality assurance to ensure that the software meets prescribed guidelines.
• Rolling out fixes and upgrades to software, as needed.
• Securing software to prevent security breaches and other vulnerabilities.
• Collecting and reviewing customers' feedback to enhance user experience.
• Suggesting alterations to workflow in order to improve efficiency and success.
• Pitching ideas for projects based on gaps in the market and technological advancements.

DevOps Engineer Requirements:

• Degree in computer science, software engineering, or an adjacent field.
• Prior experience at all phases of the software product life cycle, from conception to extinction.
• Experience using an array of automation tools.
• Familiarity with software security methods.
• Demonstrated experience using a wide variety of coding languages.
• Curious, discerning envelope pusher.
• Top-notch decision-making and collaborative abilities.
• Customer-oriented with the ability to receive and use constructive criticism.