Senior Data Engineer, Machine Learning

1 month ago

bangalore, India Moody's Ratings Full time

Job Summary 

Moody’s Ratings’ AI Analytics group develops advanced machine learning solutions for high-profile data science initiatives. To strengthen our team, we seek an experienced Data Engineer to design, build, and maintain our cloud-based data infrastructure. The successful candidate will work closely with data scientists, software engineers, and other data engineers to develop scalable and efficient data pipelines, enabling seamless data ingestion, transformation, and processing. 

 

The AVP Manager-Data Engineering will mentor junior team members and actively participate in their growth. The successful candidate will also strive to meet Moody’s values: openness, diversity, inclusivity, respect, and a willingness to learn. 

 

Responsibilities  

  • Design and implement scalable, fault-tolerant data pipelines on AWS using services like AWS Redshift, RDS, Glue, and EMR. 
  • Develop and optimize efficient data processing workflows using Python, PySpark and SQL. 
  • Build and maintain ETL/ELT processes for structured and unstructured data sources. 
  • Collaborate with data scientists and analysts to understand data requirements and provide optimized solutions. 
  • Ensure data quality, integrity, and security across various stages of the data pipeline. 
  • Implement best practices for data governance, monitoring, and automation. 
  • Troubleshoot and resolve data pipeline issues, optimizing performance and reliability. 
  • Manage and maintain database schemas and structure. 

 

Mandatory Qualifications 

  • Bachelor’s degree in computer science, engineering, or a related field. 
  • 6+ years of hands-on experience in data engineering roles. 
  • Understanding of machine learning and AI concepts. 
  • Proficient in Python, Pyspark and SQL for data manipulation and processing. 
  • Solid understanding of AWS data services. 
  • Proven experience in data modeling and database design (e.g. SQL, NoSQL). 
  • Strong problem-solving and analytical skills. 
  • Familiarity with data governance and data quality practices. 
  • Experience in management. 

 

Preferred Qualifications 

  • AWS certifications (e.g., AWS Certified Data Analytics). 
  • Experience with big data technologies (e.g., Apache Spark, Hadoop). 
  • Familiarity with CI/CD practices and DevOps tools (e.g., Git, Jenkins). 
  • Knowledge of data streaming and real-time data processing. 

 

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 or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications. 

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