We’re looking for rule benders, questioners, believers, and determined independents who think fearlessly outside of the box. If that sounds like you, get in touch with us. Explore our current openings — you just might be who we're looking for.
We have big plans to disrupt the traditional fundraising process for private businesses
You will work with a diverse team of former investment bankers, strategy consultants and business owners in developing, monitoring, and improving products to facilitate the activity of private investing
Everything we do is focused on helping businesses do business, better
We work really hard but play really hard as well
We are looking for passionate Data Engineers with strong problem-solving skills and prior experience in building data infrastructure. You should possess end-to-end data engineering knowledge (dimension modelling to ETL to data warehousing)and the ability to thrive in a fast-paced environment. As a Data Engineer, you would be involved in the agile development cycle and take ownership of various data tools from design to deployment.
Roles and responsibilities
Work with Data Scientists, Data Engineers, Data Analysts, Software engineers to build and manage data products and the Fundnel Data Warehouse
Design, develop, and launch extremely efficient and reliable data pipelines.
Solve issues in the existing data pipelines and build their successors.
Build modular pipelines to construct features and modelling tables.
Maintain data warehouse architecture and relational databases.
Monitor incidents by performing root cause analysis and implement the appropriate action.
Create, document, and monitor highly readable code.
Obtain and ingest raw data at scale (including writing scripts,web scraping, calling APIs, write SQL queries etc.)
Conduct and participate in code reviews with peers
You’ll be a great fit for us if you
Master's/Bachelor’s degree in Computer Science or any other related field with minimum 2 years of IT experience.
Minimum 2 years’ experience in designing, building and operationalizing medium to large scale data integration (structured &unstructured) projects with Data Lake, Data Warehouse, BLOB Storage, RDBMS using AWS integration services.
Minimum 1 years of Hands-on Experience in batch/real-time data integration & processing.
Strong proficiency in handling databases using MySQL,PostgreSQL,Redshift.
Solid background in programming languages like Python/Scala/Java etc. Python is a must.
Build & maintain scalable ETL pipelines using Apache Airflow.
Prior experience in using Big Data tooling (Hadoop, Spark) and a good understanding of functional programming
Interested to work in the small business (startup) environment
Possess a strong interest in fintech / financial services
Interested in working with data, functions, and characteristics of companies
Challenge conventional thinking and push design to achieve functionality and beauty
Have a basic understanding of terms in financial statements and financial ratios
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At Fundnel, we want rule benders, questioners, believers, and determined independents who think fearlessly outside of the box; we want you. We’re always on the lookout for great people to join our team.