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Job Description

Data Pipeline & Product Development

•  Design, develop, and maintain scalable data pipelines on AWS using Databricks, PySpark, Python, and SQL

•  Build and maintain data products following the Medallion architecture — Bronze (raw ingestion), Silver (cleansed/conformed), Gold (business-ready)

•  Develop data transformations and processing workflows using PySpark, Spark SQL, and Python

•  Build analytics-ready datasets and reusable data assets following the POC → Pilot → Prod governance pathway

•  Apply data modeling concepts including dimensional modeling, Star Schema, and domain-oriented data product design

Platform & Infrastructure

•  Build and support solutions on AWS data services — S3, Glue, Step Functions, Lambda, Athena, and CloudWatch

•  Work with Apache Iceberg table format for open, high-performance Lakehouse storage

•  Develop and optimize Snowflake objects (tables, views, stored procedures) as the SQL consumption layer

•  Support orchestration workflows using AWS Step Functions or Apache Airflow

•  Implement CI/CD and deployment processes using Git, GitHub Actions, and infrastructure-as-code practices

Data Quality & Governance

•  Implement data quality, validation, reconciliation, and monitoring processes — including SOX-compliant controls for close-critical financial data

•  Support data contracts and observability — ensuring data products meet defined schema, freshness, and quality thresholds

•  Implement data security practices including RBAC, data masking, and access controls

•  Monitor data pipeline health, data quality, and cloud platform performance

•  Participate in Databricks Unity Catalog governance and metadata management

Stakeholder Collaboration

•  Work with analysts, product owners, architects, and business stakeholders across Finance, Supply Chain, R&D, Tax, and Commercial to understand data requirements and deliver effective solutions

•  Support analytics platforms including Power BI and semantic/reporting models

•  Participate in code reviews, Agile ceremonies, technical discussions, documentation, and continuous improvement initiatives

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