Cloud Data Engineer

Job summary

Design, develop, and maintain scalable data pipelines and warehouses on AWS, specifically migrating features from Netezza to an AWS Data Lake. The role involves optimizing data ingestion and collaborating with stakeholders to deliver reusable design patterns and ensure data security.

Job details

Resource have strong data warehouse technical knowledge. Resource have knowledge in Bank and financial domain (Minimum 12+ years of experience). Design, develop, and maintain scalable data pipelines and workflows on AWS Build and manage data lakes and data warehouses (e.g., S3, Redshift) Develop ETL/ELT processes using tools like AWS Glue, Lambda, or Spark Strong solution Knowledge in AWS Cloud and hands on experience with ETL process (like Kafka message processing, batch interface data injection and other business layer process) Optimize data ingestion, transformation, and loading processes Work with stakeholders to understand and deliver data requirements Ensure data quality, governance, and security compliance Monitor and troubleshoot data pipelines and workflows Automate deployments using CI/CD pipelines Improve performance, cost optimization, and scalability Coordinate with clients, data users and key stakeholders to understand feature requirements needed merge them to create reusable design patterns Data onboarding using the developed frameworks Understand and make sense of available code in Netezza to design a best way to implement its current features in AWS Data Lake Unit test code and aid with QA/SIT/Perf testing Migration to production environment Good to have AWS Certifications (Solutions Architect / Data Analytics) Experience with Airflow (or Managed Workflows for Apache Airflow - MWAA) Exposure to Snowflake, Databricks, or Delta Lake Amazon S3 (Data Lake) AWS Glue (ETL) AWS Lambda Amazon Redshift AWS Step Functions AWS IAM & CloudWatch IBM Netezza

What you’ll do

Design, develop, and maintain scalable data pipelines and warehouses on AWS, specifically migrating features from Netezza to an AWS Data Lake. The role involves optimizing data ingestion and collaborating with stakeholders to deliver reusable design patterns and ensure data security.

Requirements

Requires over 12 years of experience with strong technical knowledge of data warehousing and the banking/financial domain. Proficiency in AWS services like Glue, Lambda, and Redshift is essential, with AWS certifications and experience in Airflow or Snowflake being preferred.

Listed skills

• CI/CD · Preferred
• Amazon Web Services · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• AWS
• ETL/ELT
• Data Warehousing
• Python
• Spark
• AWS Glue
• Amazon Redshift
• Amazon S3
• AWS Lambda
• Kafka
• Airflow
• Netezza
• CI/CD
• Data Lake
• Data Governance
• Financial Domain Knowledge

Job areas

• Data & Analytics
• Technology
• Software
• Consulting
• Finance & Accounting