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Role - Lead- Backend Engineering

Work Mode- Hybrid

Location- Thane, Mumbai.

About the Company: 

Ventura is an omnichannel trading and investment platform with a network of branches, sub-brokers and Digital Channels. Founded in 1994, the company is now entering the next phase of growth by pivoting to a digital-first approach and strengthening its direct-to-consumer franchise. The company has now carved out a separate fintech vertical tasked with digital transformation using cutting-edge technology and bringing in fresh talent. 

Job Description: 

We are looking for a Backend Engineering lead whose highly talented individuals come from diverse backgrounds and are looking to solve real client problems at scale. We are looking for passionate techies with skills primarily around AWS and the latest tech stack who are aspiring for a fast-track career.

Join us if you like to:

· Build out a next-gen fintech product from ground 0

· Opportunity to influence the design of the product

· Flexible and Hybrid work environment running out of Slack

· Flat org structure

· Stay up-to-date on industry trends and emerging technologies

We’ll need you to bring:

· Bachelor's degree in Engineering or Master's degree in CS/ IT.

· 7+ years of experience 

· Clean coding skills around C++/Python/NodeJS/Go.

· Knowledge of Redis.

· Experienced in SQL with Postgres and Good to have Influx DB.

· Knowledge of NGINX or any other API gateway.

· Strong AWS skills, techies with certifications from AWS are particularly encouraged to apply - AWS API Gateway, Route53, Lambda, EC2, RDS, SQS, CloudWatch, Cognito, QuickSight

Demonstratable experience around writing testable code, working with git, doing peer-level code review, daily standups, and generally championing software excellence

Roles & Responsibilities

• Data Engineering Excellence: Design and implement data pipelines using formats like JSON, Parquet, CSV, and ORC, utilizing batch and streaming ingestion.
• Cloud Data Migration Leadership: Lead cloud migration projects, developing scalable Spark pipelines.
• Medallion Architecture: Implement Bronze, Silver, and gold tables for scalable data systems.
• Spark Code Optimization: Optimize Spark code to ensure efficient cloud migration.
• Data Modeling: Develop and maintain data models with strong governance practices.
• Data Cataloging & Quality: Implement cataloging strategies with Unity Catalog to maintain high-quality data.
• Delta Live Table Leadership: Lead the design and implementation of Delta Live Tables (DLT) pipelines for secure, tamper-resistant data management.
• Customer Collaboration: Collaborate with clients to optimize cloud migrations and ensure best practices in design and governance.

Educational Qualifications

• Experience: Minimum 5 years of hands-on experience in data engineering, with a proven track record in complex pipeline development and cloud-based data migration projects.
• Education: Bachelor’s or higher degree in Computer Science, Data Engineering, or a related field.
• Skills
• Must-have: Proficiency in Spark, SQL, Python, and other relevant data processing technologies. Strong knowledge of Databricks and its components, including Delta Live Table (DLT) pipeline implementations. Expertise in on-premises to cloud Spark code optimization and Medallion Architecture.

Good to Have

• Familiarity with AWS services (experience with additional cloud platforms like GCP or Azure is a plus).

Soft Skills

• Excellent communication and collaboration skills, with the ability to work effectively with clients and internal teams.
• Certifications
• AWS/GCP/Azure Data Engineer Certification.

Specific Knowledge/Skills

1. 4-6 years of experience
2. Proficiency in Python programming.
3. Basic knowledge of front-end development.
4. Basic knowledge of Data manipulation and analysis libraries
5. Code versioning and collaboration. (Git)
6. Knowledge for Libraries for extracting data from websites.
7. Knowledge of SQL and NoSQL databases
8. Familiarity with RESTful APIs
9. Familiarity with Cloud (Azure /AWS) technologies

Experience: 5+ Years

• Experience in Core Java, Spring Boot

• Experience in microservices and angular

• Extensive experience in developing enterprise-scale systems for global organization. Should possess good architectural knowledge and be aware of enterprise application design patterns.

• Should be able to analyze, design, develop and test complex, low-latency client-facing applications.

• Good development experience with RDBMS in SQL Server, Postgres, Oracle or DB2

• Good knowledge of multi-threading

• Basic working knowledge of Unix/Linux

• Excellent problem solving and coding skills in Java

• Strong interpersonal, communication and analytical skills.

• Should be able to express their design ideas and thoughts

• 5+ years of software development experience including 4+ years of deep, hands on experience in building highly scalable web-based backend applications using Java and Spring ecosystem
• BE/BTech in Computer Science or a related field or equivalent practical experience
• Great problem-solving skills with solid data structures and algorithms knowledge
• Has extensively used the Spring ecosystem – Spring Boot, REST API Development, ORM tools like Hibernate
• Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate)
• Profound insight of Java and JEE internals (Class loading, Multi-Threading, Memory Management, Transaction management etc)
• Experience of coaching and mentoring junior developers with good delegation and time-management skills
• Implemented CI/CD in any of the projects done
• Strong understanding of Agile and Lean software development processes and practices
• Excellent knowledge and hands-on experience of Elastic Search
• Has designed relational databases; conversant with SQL
• Knowledge of Jenkins/ Docker and Devops
• Knowledge of Redis or similar technology
• Worked with some or all of these AWS services: EC2; lambda; SQS/SNS; Elastic Search, Transcoder
• Understanding and experience of building services and applications using principles of service-oriented architecture, preferable using REST or SOAP
• Contributed in the creation of end-to-end automation tests (functional or non-functional)
• Worked with WebSocket, Push notifications etc

• Experience in ELK stack
• Knowledge of Video tools like FFMPEG, Wowza / Node Media Streaming
• Understanding of different video formats, streaming, CDN etc
• Understanding of Machine Learning Models, Pipelines etc

• Expert knowledge of computer science, with strong competencies in data structures, algorithms,

  and software design.

• Strong understanding of end-to-end architectures and development frameworks; knowledge

  across tiers in a multi-tier cloud environment including load balancers, web servers, application

  containers, data stores, and distributed caches.

• Minimum 6 years of experience with deep technical knowledge and hands on skills in Java.

• Has worked extensively on caching technologies such as Redis, memcache.

• Should be strong with Data Strcutures, Algorithms & OOPs concepts.

• Worked on NoSQL databases such as MongoDb.

• Designed and developed highly scalable multi-threaded large scale distributed systems.

• Well versed with services and micro-services architecture.

• • Usage of containers, virtual machine systems, cloud computing.

   

1. Building REST API's & Services In Django Framework
2. Building reusable code and libraries for future use
3. Optimization of the application for maximum speed and scalability
4. Implementation of security and data protection
5. Design and implementation of the database schema
6. Design and implementation of data storage solutions
7. Implementing CI/CD pipeline

• Proficient knowledge of a back-end programming language Python
• Hands-on experience with Python Frameworks like Django
• Proficient knowledge of MySQL, PostgreSQL
• Creating database schemas that represent and support business processes (Relational & NoSQL)
• Understanding of queueing systems like Redis/AWS SQS
• User authentication and authorization between multiple systems, servers, and environments
• Data migration, transformation, and scripting
• Understanding differences between multiple delivery platforms such as mobile vs desktop, and optimizing output to match the specific platform
• Proficient understanding of code versioning tools, such as Git

• Experience in Docker
• HandsOn Knowledge with implementing CI/CD pipelines
• Experience in managing applications on AWS
• Management of hosting environment, including database administration and scaling application to support load changes
• Product wide application-level thinking on API and data modeling