Data Engineer (Office or Remote)

le contenu du travail

Role/Responsibilities

The data engineer builds high quality data pipelines driving analytic solutions. The role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The ideal candidate is a skilled data / software engineer with experience creating data products supporting analytic solutions.

Responsibilities

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals
• Solve complex data problems to deliver insights that helps our business to achieve their goals
• Create data products for analytics and data scientist team members to improve their productivity
• Advise, consult, mentor and coach other data and analytic professionals on data standards and practices
• Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
• Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering in order to improve our productivity as a team
• Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes
• Code, test, and document new or modified data systems to create robust and scalable applications for data analytics
• Implement security and recovery tools and techniques as required
• Work with Data Science Lead and developers to make sure that all data solutions are consistent
• Partner with Business Analysts and Solutions Architects to develop technical architectures for strategic enterprise projects and initiatives.
• Ensure all automated processes preserve data by managing the alignment of data availability and integration processes
  

Skills

Qualifications

• Bachelor of Science in Computer Science, Engineering, Mathematics, Statistics or related subject
• 2-5 years of experience in developing modern data pipelines and applications for analytics (e.g., BI, reporting, dashboards) and advanced analytics (e.g., machine learning, deep learning) use cases
• Expertise in SQL and the Python programming language
• Expertise designing and implementing data pipelines using modern data engineering approach and tools: SQL, Python, Delta Lake, Databricks, Spark, Glue, Nifi , Streamsets , cloud-native DWH ( BigQuery , Snowflake, Redshift), Kafka/Confluence, Presto/ Dremio /Athena
• Experience with developing solutions on cloud computing services and infrastructure with AWS
• Experience with database development using a variety of relational, NoSQL, and cloud database technologies
• Worked with BI tools such as Tableau, Qlick , PowerBI or cloud-native ones such as Looker, QuickSight
• Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, DWH, etc.
• Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
• Excellent communication, listening, and influencing skills

Behaviors:

• Self-motivated with strong problem-solving and self-learning skills
• Flexible with respect to changes in work direction as the project develops
• Strong advocate of a culture of process and data quality in all development team
  

LOB/Cost Center

Commercial Real Estate OU

Moody’s Analytics products are becoming an essential tool in the rapidly expanding Commercial Real Estate market. We deliver an integrated and holistic platform that automates critical processes and generates insights and recommendations to drive better decisions. Lenders, asset managers and brokers are some of our biggest customers. Our analytics provide key property performance indicators, research, and risk assessment, giving our customers a good understanding of their future cashflows. We have a team of brokerage and lending solutions experts as well as passionate sales, marketing and technology professionals who constantly strive to add value to our customers’ experience.

Job Req ID

21349BR

Entity

Moody’s Analytics (MA)

Line of Business

Commercial Real Estate OU (CRE OU)

Regular/Temporary

Regular

City

Atlanta, Boca Raton, Boston, Brussels, Charlotte, Chicago, Dallas, Edinburgh, Frankfurt, Jersey City, King of Prussia, London, Manchester, Montbonnot Saint Martin, New York, Omaha, Prague, Saint Cloud Cedex, San Francisco, Toronto, Waltham, Washington DC, West Chester

Job Category

Engineering & Technology

Job Sub Category

Software Engineering

Experience Level

Experienced Hire

Working at Moody’s

Moody’s (NYSE: MCO) is a global integrated risk assessment firm that empowers organizations to make better decisions. Our data, analytical solutions and insights help decision-makers identify opportunities and manage the risks of doing business with others. We believe that greater transparency, more informed decisions, and fair access to information open the door to shared progress. With over 11,000 employees in more than 40 countries, Moody’s combines international presence with local expertise and over a century of experience in financial markets. Learn more at moodys.com .

Entity

Moody’s Analytics provides financial intelligence and analytical tools supporting our clients’ growth, efficiency and risk management objectives. The combination of our unparalleled expertise in risk, expansive information resources, and innovative application of technology, helps today’s business leaders confidently navigate an evolving marketplace.

EEO Policy

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com . This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance. For New York City positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the New York City Fair Chance Act. For all other applicants, qualified applicants with criminal histories will be considered for employment consistent with the requirements of applicable law.

Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement.

Securities Trading Policy (STP)

Candidates for Moody’s Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.