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hackajob is partnering with Moody's Corporation to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
Skills and Competencies
5–8+ years of hands‑on experience developing large‑scale, cloud‑native data systems.
Strong proficiency in Python, PySpark, and SQL for data processing, transformation, and automation.
Experience designing and maintaining ETL/ELT pipelines using Airflow, dbt, and Snowflake.
Proficiency with relational and NoSQL databases such as PostgreSQL, DynamoDB, and Snowflake.
Familiarity with big data and streaming technologies including Spark, Hadoop, Kafka, or Kinesis.
Strong understanding of data modeling, data warehousing, data governance, and data quality principles.
Ability to work closely with data scientists, analysts, and cross‑functional engineering partners to translate business needs into scalable technical solutions.
Strong communication, documentation, and problem‑solving skills, with the ability to mentor peers and promote engineering best practices.
Education
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field.
AWS certifications such as Data Analytics or Solutions Architect are a plus.
Responsibilities
Design, develop, and maintain scalable, fault‑tolerant data pipelines using AWS, Python, PySpark, Snowflake, Airflow, and dbt.
Build robust data ingestion, integration, and transformation workflows across structured and unstructured data sources.
Optimize SQL queries, processing jobs, and data models for performance, scalability, and cost efficiency.
Ensure data quality, reliability, and availability through testing, validation, automation, and observability best practices.
Support modernization and cloud transformation initiatives for next‑generation content and data delivery platforms.
Monitor, troubleshoot, and enhance the performance and reliability of data pipelines and supporting infrastructure.
Participate in code reviews, documentation updates, architectural discussions, and team knowledge‑sharing sessions.
Collaborate with product, data, and engineering stakeholders to deliver high‑impact, enterprise‑scale data solutions.
hackajob is partnering with Moody's Corporation to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.