Data Engineer
9 godzin temu
SoftKraft is a technology company created by programmers for programmers. Our values are Ownership, Excitement, Learning, Communication, and Teamwork. We exist to delight our customers and coworkers by providing a challenging environment for personal and professional growth.
Job Description
As a Financial Data Engineer at SoftKraft, you will be working on designing and developing financial systems using Python and SQL. You will have the opportunity to work with large time series data, process and aggregate data, and perform data quality checks. Your experience in Linux, Java, and noSQL databases will be valuable assets in this role. You will also be working with vendors and technical teams to ingest, evaluate, and create valuable data assets. In addition, you will be engaging with clients as an SME on data asset offerings and communicating project deliverables to stakeholders.
Required Skills and Qualifications
To be successful in this role, you will need to have experience with Python, SQL, Git, AWS, Airflow, Pandas, and Spark. Additionally, proficiency in tools such as Jira, Github, Confluence, GitHub, GIT, Agile, and Scrum is required. Experience working in the Financial domain, e.g., bonds, rates, and understanding Financial symbology, is also necessary. You will also need to have English language skills at a minimum B2 level for daily communication.
Benefits
At SoftKraft, we offer a range of benefits including flexible working hours, 100% remote work option, modern office space, startup atmosphere, free coffee, and snacks. Our flat structure and small teams ensure that you will have opportunities to learn from experienced coworkers and grow both professionally and personally. You will also be part of international projects, which will provide you with exposure to diverse perspectives and challenges.
We use a variety of technologies including Python, SQL, Git, AWS, Airflow, Pandas, and Spark. You will be working on designing and developing financial systems, processing and aggregating large time series data, and performing data quality checks. You will also be working with vendors and technical teams to ingest, evaluate, and create valuable data assets. In addition, you will be engaging with clients as an SME on data asset offerings and communicating project deliverables to stakeholders.
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