Job Description

Location(s):

Quay Building 8th Floor, Bagmane Tech Park, Bengaluru, IN

Line Of Business: MIS MGMT(MIS MGMT)

Job Category:

Engineering & Technology

Experience Level: Experienced Hire

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.