Data Engineer III - Data Modeler and Engineer

Job responsibilities

• Design and implement data models (conceptual, logical, and physical) to support business requirements.
• Work with structured and unstructured data from multiple sources and integrate them into Databricks.
• Collaborate with data engineers, analysts, and business stakeholders to understand data needs.
• Apply and promote best practices in data engineering, security, risk management, regulatory compliance, and automation.
• Create and maintain documentation for data models, pipelines, and architectures.
• Collaborate cross-functionally with software engineering, analytics, and business teams to deliver data solutions aligned with business objectives

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on experience in data modeling with strong SQL , Python for data manipulation
• Strong expertise in Databricks, Delta Lake, advanced queries.
• Hands-on experience with Big Data, Glue catalog on AWS, Data Mesh, relational databases (Oracle), SQL and NoSQL.
• Strong problem-solving skills and the ability to work in an agile environment.
• Proficiency in enterprise-grade languages (e.g., Python) and data modeling (ERWin) & engineering tools.
• Experience in data engineering, with a proven track record of leading large-scale data architecture and transformation projects in hybrid cloud and on-prem environments.
• Expertise in data modeling, database design, big data technologies, cloud data platforms (AWS, Azure, GCP), and modern data tools (e.g., Snowflake, Databricks, Teradata).
• Strong experience architecting and optimizing transactional and analytical data systems.
• Knowledge of ETL/ELT processes and data pipeline development.

• Solid background in data security, risk management, and regulatory compliance.

• Experience with cloud platforms (AWS, Azure, or GCP) is a plus. Experience with OLAP tools (TM1, Essbase, Atoti etc) is a plus.
• Experience in Compliance and Risk domain (Operational and Compliance Risk, Surveillance and Financial Crimes) will be preferable.
• Familiarity with data governance, security, and compliance best practices.