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Job Description & How to Apply Below
Key Value is a trusted product engineering partner for Start Ups & Scale Ups - unlocking their passion, developing ideas, and creating abundant value to all stakeholders in the ecosystem.
We have ideated, conceived, strategized and built some of the globe’s most innovative Fintech, Payments, Financial Services, Digital Commerce, Madtech, Edtech, Social tech, Logistics, High Technology, Blockchain, Crypto, NFT and Healthcare companies, helping them conceive, scale, pivot, and enhance their businesses.
Key Value’s mission is to be the world’s most trusted product development hub – delivering high-value outcomes for start-ups & scale-ups – with a talented skilled team – in a thriving and inclusive culture.
Our inclusive culture is engaging & experiential, creating an environment to learn & collaborate with freedom to think, create, explore, grow and thrive. An ownership mindset with growth orientation forms the bedrock of exceptional client success!
We are looking for an experienced and resilient person to join our growing team of analytic experts and willing to learn through bigger challenges.
What you will do:
Work closely with product and engineering team to understand the domains, features and metrics
Design and build scalable data pipelines to handle data from different sources
Extract data using ETL tools and load to data warehouse ( AWS Redshift / Google Big Query)
Implement batch processing for structured and unstructured data
Analyse data and create visualizations using tools like Tableau/Metabase/Google Data Studio which helps in implementing business decisions
Work on core data team which designs and maintain the Data warehouse
Troubleshooting and resolving issues in data processing and pipelines.
Should be able to anticipate problems and build processes to avoid them.
Learn new technology in a short span of time.
Setting up CI/CD.
What makes you a great fit
Proficiency in database design and writing SQL queries
Experience in any of data warehouse solutions AWS Redshift / Google Big Query / Snowflake
Knowledge on platforms such as Segment / Hevo Data / Stitch / Amplitude / Clevertap
Hands on experience in Apache Spark / Python / R / Hadoop / Kafka
Knowledge on working with connectors (REST / SOAP etc.)
Experience in BI platforms like Metabase / Power BI / Tableau / Google Data Studio
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