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Roles & Responsibilities
- Acquire targeted business clients by actively optimizing pipelines and sourcing new leads by a daily cold call on the field until they are engaged.
- Maintain relationships with prospective, new & existing clients to add on new services and increase the business revenue.
- Achieve forecasted sales goals.
- Manage the sales funnel and source leads and take daily follow-up with them for acquisition
- Plan and execute sales activities that will ensure sales growth objectives.
- Be able to properly demonstrate product presentation and benefits of Company instrumentation to customers.
- Set demo session with the potential customer to convert
- Meet customer requirements (responsive, schedule conscious, etc) and maintain a relationship
- Provide forecasts, reports, marketing intelligence, and competitor information to build strategies & increase business revenues.
- Attend and represent the Company at local and national exhibitions and meetings.
- On-board customers and keep the communication alive to build high CSAT scores.
- Handle after-sales services & queries of the client.
Job Summary:
We are seeking a skilled Senior Data Engineer with expertise in application programming, big data technologies, and cloud services. This role involves solving complex problems, designing scalable systems, and working with advanced technologies to deliver innovative solutions.
Key Responsibilities:
- Develop and maintain scalable applications using OOP principles, data structures, and problem-solving skills.
- Build robust solutions using Java, Python, or Scala.
- Work with big data technologies like Apache Spark for large-scale data processing.
- Utilize AWS services, especially Amazon Redshift, for cloud-based solutions.
- Manage databases including SQL, NoSQL (e.g., MongoDB, Cassandra), with Snowflake as a plus.
Qualifications:
- 5+ years of experience in software development.
- Strong skills in OOPS, data structures, and problem-solving.
- Proficiency in Java, Python, or Scala.
- Experience with Spark, AWS (Redshift mandatory), and databases (SQL/NoSQL).
- Snowflake experience is good to have.
Egen is a data engineering and cloud modernization firm helping industry-leading companies achieve digital breakthroughs and deliver for the future, today. We are catalysts for change who create digital breakthroughs at warp speed. Our team of cloud and data engineering experts are trusted by top clients in pursuit of the extraordinary. An Inc. 5000 Fastest Growing Company 7 times, and recently recognized on the Crain’s Chicago Business Fast 50 list, Egen has also been recognized as a great place to work 3 times.
You will join a team of insatiably curious data engineers, software architects, and product experts who never settle for "good enough". Our Java Platform team's tech stack is based on Java8 (Spring Boot) and RESTful web services. We typically build and deploy applications as cloud-native Kubernetes microservices and integrate with scalable technologies such as Kafka in Docker container environments. Our developers work in an agile process to efficiently deliver high value data driven applications and product packages.
Required Experience:
- Minimum of Bachelor’s Degree or its equivalent in Computer Science, Computer Information Systems, Information Technology and Management, Electrical Engineering or a related field.
- Have experience working and strong understanding of object-oriented programing and cloud technologies
- End to end experience delivering production ready code with Java8, Spring Boot, Spring Data, and API libraries
- Strong experience with unit and integration testing of the Spring Boot APIs.
- Strong understanding and production experience of RESTful API's and microservice architecture.
- Strong understanding of SQL databases and NoSQL databases and experience with writing abstraction layers to communicate with the databases.
Nice to have's (but not required):
- Exposure to Kotlin or other JVM programming languages
- Strong understanding and production experience working with Docker container environments
- Strong understanding and production experience working with Kafka
- Cloud Environments: AWS, GCP or Azure
Role : SDET
Must have :
• Strong experience in developing enterprise test automation
• Expertise on the Microsoft technology stack (C# , ASP.NET 3.5/4.0/4.5, SQL Server).
• Selenium and either C# or Java
Good to have :
• Powershell/Other scripting language
• Knowledge of design patterns is desirable.
• Experience in Unified Product Engineering is desirable involving development, testing and test automation
Responsibilities :
• Ability to deliver software and artefacts independently.
• Work independently within self-organizing Agile teams.
• Plan and identify solutions and risks in assigned work.
• Design and develop solutions to strengthen a seamless CI/CD pipeline
• Excellent design, coding, debugging, problem solving and analytical skills.
• Prior experience with high volume, reliable UI test automation
• Be responsible for enhancing test automation framework to make it stable, reliable and
scalable.



- Creating and processing invoices
- Cross-checking invoices with payments and expenses to ensure accuracy
- Managing a company's accounts payable and receivable
- Sending bills and invoices to clients
- Tracking organization expenses
- Processing refunds
- Working with collection agencies on overdue payments
- Communicating with clients regarding billing and payments
- GST returns
- TDS knowledge
- Tally Proficient
- Content writing
- Website management
- Social profile management
- Advertisement (Google and social)
- Analytics
- SEO
- Traffic generations
- Leads generation
- Regular interactions with our audience
- Planning campaign on a monthly basis around current products and services
- Developing relationships with affiliates
- International outreach and SEO