Data Engineer

04 Products Platform India

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Description

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.  

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