Data Engineer

Job Description Responsibilities: Help move products through the development lifecycle from proofs of concept all the way to final, production-ready products Engineer, build and maintain scalable automated data pipelines and workflows using tools such as Apache Airflow. Implement best practices in management of data, including data processing, data quality and lineage. Managing code repositories, code deployments using GIT Automate, maintain and manage system, to ensure the availability, performance, scalability  of product. Design, schedule, monitor, and troubleshoot Airflow DAGs to support reliable pipeline execution. Support regular and ad-hoc data querying and analysis. Qualifications 5+ years of experience in Python and data-focused packages, e.g., Pandas, Numpy ; interacting with JSON, XML, CSV, TSV formatted data. 3+ years of experience with snowflake, SQL.  5+years of experience with version control like git, bitbucket, and Linux environment. Hands-on experience with Apache Airflow for orchestration and automation of data workflows. Working knowledge of REST API Consumption is preferred Familiarity with Java, Tableau, Agile practice is a plus Good to have knowledge of financial domain About RiskSpan   RiskSpan is a SaaS Fintech B2B software and services firm, a leading source of analytics, modeling, data and risk management solutions for the consumer and institutional Finance industries. We solve business problems for clients such as banks, mortgage-backed and asset-backed securities issuers, equity and fixed-income portfolio managers, servicers, and regulators that require our expertise in the market risk, credit risk, operational risk and information technology domains.