Why Work With Solarify?
1. Higher than market standard incentives for sales made
2. Freedom to innovate and experiment on the job
3. Gain experience of selling a high-cost, high-impact products
4. Be a part of a young team and dynamic work culture
About The Job
The person excels at nurturing and closing new opportunities. By using a consultative approach to selling, this person will use their expertise to qualify leads, leading to sales opportunities from new and existing customers.
Responsibilities
- Meet sales targets for specific customer segments
- Successfully create business opportunities from new and existing customer accounts
- Manage complex negotiations with senior-level executives and administrators
- Build rapport and establish long-term relationships with customers
Qualifications
> 1-3 years' quota carrying sales experience (preferably non-IT sales)
> Experience and working knowledge of CRM tools
> Demonstrable track record of achieving results
Personal Aptitudes
> Strong written and verbal communication
> Showcases leadership and initiative
> Effectively prioritise tasks and time
> Negotiate without getting flustered
Personal Attributes
> Result-oriented
> Incentive-driven
> Showcases empathy
> Risk-taking
> Accountable
> Punctual
> Tech-savvy
> High tolerance to ambiguity
> Detail-oriented

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CORE RESPONSIBILITIES
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- 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
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- 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
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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
Skills and Experience
-
Experience in Process documentation, process mapping and process optimization.
-
Understanding of Software Development Life Cycle
-
Auditing / project facilitation / SQA skills
-
Knowledge and work experience in frameworks like Agile, Lean Six Sigma, Project management, IT services management, Design Thinking etc. will be an added advantage.
-
Exposure to CMMI processes is an added advantage
-
Prior participation as Appraisal Team Member in a CMMI appraisal is an added advantage
-
CMMI V2.0 Certified Associate certification is an added advantage
-
Development/ project work experience/background is an added advantage
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- Negotiate contracts, pricing, and terms of agreements with clients.
- Provide insights and recommendations for business growth.
- Analysing gaps and developing policies with the core team.
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