Tech Sales Intern

5-7 years of experience in Data Engineering with solid experience in design, development and implementation of end-to-end data ingestion and data processing system in AWS platform.

2-3 years of experience in AWS Glue, Lambda, Appflow, EventBridge, Python, PySpark, Lake House, S3, Redshift, Postgres, API Gateway, CloudFormation, Kinesis, Athena, KMS, IAM.

Experience in modern data architecture, Lake House, Enterprise Data Lake, Data Warehouse, API interfaces, solution patterns, standards and optimizing data ingestion.

Experience in build of data pipelines from source systems like SAP Concur, Veeva Vault, Azure Cost, various social media platforms or similar source systems.

Expertise in analyzing source data and designing a robust and scalable data ingestion framework and pipelines adhering to client Enterprise Data Architecture guidelines.

Proficient in design and development of solutions for real-time (or near real time) stream data processing as well as batch processing on the AWS platform.

Work closely with business analysts, data architects, data engineers, and data analysts to ensure that the data ingestion solutions meet the needs of the business.

Troubleshoot and provide support for issues related to data quality and data ingestion solutions. This may involve debugging data pipeline processes, optimizing queries, or troubleshooting application performance issues.

Experience in working in Agile/Scrum methodologies, CI/CD tools and practices, coding standards, code reviews, source management (GITHUB), JIRA, JIRA Xray and Confluence.

Experience or exposure to design and development using Full Stack tools.

Strong analytical and problem-solving skills, excellent communication (written and oral), and interpersonal skills.

Bachelor's or master's degree in computer science or related field.

• Build campaign generation services which can send app notifications at a speed of 10 million a minute
• Dashboards to show Real time key performance indicators to clients
• Develop complex user segmentation engines which creates segments on Terabytes of data within few seconds
• Building highly available & horizontally scalable platform services for ever growing data
• Use cloud based services like AWS Lambda for blazing fast throughput & auto scalability
• Work on complex analytics on terabytes of data like building Cohorts, Funnels, User path analysis, Recency Frequency & Monetary analysis at blazing speed
• You will build backend services and APIs to create scalable engineering systems.
• As an individual contributor, you will tackle some of our broadest technical challenges that requires deep technical knowledge, hands-on software development and seamless collaboration with all functions.
• You will envision and develop features that are highly reliable and fault tolerant to deliver a superior customer experience.
• Collaborating various highly-functional teams in the company to meet deliverables throughout the software development lifecycle.
• Identify and improvise areas of improvement through data insights and research.

• 2-5 years of experience in backend development and must have worked on Java/shell/Perl/python scripting.
• Solid understanding of engineering best practices, continuous integration, and incremental delivery.
• Strong analytical skills, debugging and troubleshooting skills, product line analysis.
• Follower of agile methodology (Sprint planning, working on JIRA, retrospective etc).
• Proficiency in usage of tools like Docker, Maven, Jenkins and knowledge on frameworks in Java like spring, spring boot, hibernate, JPA.
• Ability to design application modules using various concepts like object oriented, multi-threading, synchronization, caching, fault tolerance, sockets, various IPCs, database interfaces etc.
• Hands on experience on Redis, MySQL and streaming technologies like Kafka producer consumers and NoSQL databases like mongo dB/Cassandra.
• Knowledge about versioning like Git and deployment processes like CICD.

Key Responsibilities:

1. Excellent verbal & written communication skills.
2. Manage Voice/Non voice Process- Payment, Refunds etc.
3. Ensures metrics, monitor process, provide regular coaching & mentoring to team.
4. Knowledge of payments and fintech.
5. Respond to requests through emails or chats for information in a timely, professional and positive manner to develop strong customer relations.
6. Providing information about a product or service.

Desired Candidate Profile:

1. Excellent verbal and written communication skills.
2. Technical bent of mind to isolate a problem quickly.
3. Have proven experience in the same domain.

Education- Any Graduate

Responsibilities:

• The candidate will get an opportunity to work on AI/ML technologies using NodeJS for web applications.
• Deliver high-quality code in a fast-paced customer-facing product.
• Specify, design, and implement the functionality and behaviors of the web infrastructure.
• Be involved in the full life-cycle of development from concept through integration, test, and high web traffic deployments.
• Interface with the firmware team as well as clients and end-users of the products.
• API development using REST JSON/XML, and security standards like OAuth.

Requirements:

• BTech or MTech in Computer Engineering, Computer Science, or other similar majors.
• Experience building products with full-stack technologies, and an excellent understanding of computer science fundamentals, data structures, and algorithms.
• Must have experience in version control systems like GIT.
• Strong in NodeJS, MySQL, MongoDB, Kafka, Elasticsearch.