Sales Manager

Job Description

You will lead the journey of growth by analysing, solving the problems and executing new projects on ground!

• Create processes and methods to gather business data and create business reports
• Analyze data to identify problematic areas and suggest improvements
• Responsible for goal setting, planning, and execution of projects at farms
• Develop requirements and operational standards - SOP’s
• Conduct continuous reviews of metrics & drive or assist on improvements

Job Requirement

• Expert in SQL, Excel, other scripting languages (R, Python, etc.)
• 1-2 years of experience as business analyst
• Hands on experience on BI tools - Power BI, Tableau, Qlikview, Data Studio, Excel etc
• Self-driven, energetic, lives and breathes data with a problem-solving mindset.
• Should be enthusiastic for travelling on ground, lead teams and execute projects.

You are a perfect fit if you are:

• A self-starter and a quick learner. Result oriented with execution excellence. A problem solver with a go-getter attitude. Passionate about travelling, executing developing and lead teams.

1. Data Engineer

 Required skill set: AWS GLUE, AWS LAMBDA, AWS SNS/SQS, AWS ATHENA, SPARK, SNOWFLAKE, PYTHON

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 

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.

Familiarity and experience in the following is a plus:  

• AWS certification
• Spark Streaming 
• Kafka Streaming / Kafka Connect 
• ELK Stack 
• Cassandra / MongoDB 
• CI/CD: Jenkins, GitLab, Jira, Confluence other related tools

Fundflo Technology is looking for a full stack engineer who is passionate about learning new technologies. In this role, you will be responsible for developing product features using the latest web and mobile technologies in a cloud ecosystem.

What will you be doing?

1. Design, code and test product features in an agile-scrum environment.
2. Work closely with the team to understand the needs, context and develop solutions for the same.
3. Volunteer for items in the backlog and deliver to the highest standards.
4. Follow the engineering standards and practices
5. Research and experiment to solve complex problems.
6. Work in a democratic environment where decisions are driven by logic
7. Understand the functional complexity and provide the best experience to the users.
8. Contribute to Fundflo’s roadmap and help build a one-of-a-kind Account Receivable management platform

What skills do you need?

1. Engineer preferably in Computer Science
2. Good understanding of Data Structure and algorithm.
3. Proficiency in one or more of the following technologies: NodeJS, Java, frontend frameworks like React, Angular
4. Good understanding of Relational Database(i.e MySql, PostgreSQL etc) 

Remote working with access to co-working space as required.