Network Lead

• Developing models and business logic (e. g. transactions, payments, diet plan, search, etc).
• Architecting servers and services that enable new product features.
• Building out newly enabled product features.
• Monitoring system uptime and errors to drive us toward a high-performing and reliable product.
• Take ownership and understand the need for code quality, elegance, and robust infrastructure.
• Worked collaboratively on a software development team.
• Built scalable web applications.

Skills:

• Minimum 4 years of industry or open-source experience.
• Proficient in at least one OO language: Python(preferred)/Golang/Java.
• Writing high-performance, reliable and maintainable code.
• Good knowledge of database structures, theories, principles, and practices.
• Experience working with AWS components [EC2, S3, RDS, SQS, ECS, Lambda]

CORE RESPONSIBILITIES

• Create and manage cloud resources in AWS 
• Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies 
• Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform 
• Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations 
• Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
• Define process improvement opportunities to optimize data collection, insights and displays.
• Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible 
• Identify and interpret trends and patterns from complex data sets 
• Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders. 
• Key participant in regular Scrum ceremonies with the agile teams  
• Proficient at developing queries, writing reports and presenting findings 
• Mentor junior members and bring best industry practices 

QUALIFICATIONS

• 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales) 
• Strong background in math, statistics, computer science, data science or related discipline
• Advanced knowledge one of language: Java, Scala, Python, C# 
• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake  
• Proficient with
• Data mining/programming tools (e.g. SAS, SQL, R, Python)
• Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
• Data visualization (e.g. Tableau, Looker, MicroStrategy)
• Comfortable learning about and deploying new technologies and tools. 
• Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines. 
• Good written and oral communication skills and ability to present results to non-technical audiences 
• Knowledge of business intelligence and analytical tools, technologies and techniques.

Mandatory Requirements 

• Experience in AWS Glue
• Experience in Apache Parquet 
• Proficient in AWS S3 and data lake 
• Knowledge of Snowflake
• Understanding of file-based ingestion best practices.
• Scripting language - Python & pyspark

• We are looking for : Data engineer
• Sprak
• Scala
• Hadoop

Simform is a fast-growing software services company mainly serving and having a presence in North America. Simform has built a solid work culture that is focused on learning, growth, and work-life balance. Simform is well-known for its very good work culture and loved by employees.

Please read more about the company and work culture here : https://www.simform.com/careers/

Job Description :

Summary : Major focus will be the development of server-side logic to ensure high performance and responsiveness to requests received from front-end. Deployment on the production server.

Responsibilities :

- Understanding the project requirement and coding the programs efficiently to meet the client's requirements to the closest proximity.

- Optimise output to run smoothly on multiple delivery platforms.

- Design and implement low-latency, high-availability, and performant applications.

- Integration of user interface elements developed by front-end developers with server-side logic.

- Integration of multiple data sources and databases into one system.

- Integration of data storage and third-party library/package into the application.

- Create or integrate any such thing manually if not available on standard package list.

- Create the best fitted and scalable database schema for particular business logic.

- Should be hands-on in reading large volumes of data from the database, or over HTTP(S)/WebSockets.

- Ensure programs and applications are bug-free and run smoothly.

Skills And Qualifications :

- Familiarity with Python web stacks and In-depth knowledge of different frameworks (Django, Flask, etc.)

- Understanding different types of Object Relational Mappers.

- Ability to work on multiple API integrations, and write modular reusable code.

- Understanding of the threading limitations of Python, and multi-process architecture

- Good knowledge of a server-side templating language.

- Basic understanding of front-end frameworks such as Angular, ReactJs, VueJs and technologies such as JavaScript, HTML5, and CSS3

- Knowledge of user authentication and authorisation between multiple systems, servers, and environments

- Understanding of fundamental design principles behind a scalable application

- Familiarity with object event-driven programming in Python

- Strong unit test and debugging skills

- Proficient understanding of code versioning tools, such as Git, Mercurial or SVN.

• Establish relationships with new customers and secure contracts with new customers
• Drive the entire sales cycle from initial customer engagement to closed sales
• Prospect for potential customers using various direct methods such as calling and face to face meetings, and indirect methods such as networking
• Work on marketing tools to plan and execute lead generation campaigns
• Consult with prospect about business challenges and requirements,
• Maintain a high level of relevant domain knowledge in order to have meaningful conversations with prospects.
• Make presentations to senior managers and decision-makers
• Draft and deliver proposals
• Report on sales activity
• B2B corporate sales experience in hunting merchants.
• B2B partnership experience is preferred.
• Handled merchants in lending/payment gateway companies will be an added advantage.

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