Senior Data Engineer

Senior Data Engineer

Key Responsibilities:

• Design, build, and maintain scalable, cloud-based enterprise data warehouses and data pipelines to support Media ROI and CPG analytics use cases.
• Partner with analytics and business stakeholders to understand media, marketing, and CPG business requirements and translate them into robust data solutions.
• Develop and optimize data pipelines using Snowflake, Databricks, Spark, and cloud-native services across AWS and Azure.
• Create and maintain complex SQL-based analytical models, business queries, and reporting datasets to enable deep insights into media performance and ROI.
• Integrate and process large-scale structured and semi-structured datasets using Big Data technologies.
• Ensure data quality, performance optimization, security, and governance across data platforms.
• Support downstream analytics, reporting, and advanced modeling teams by delivering well-structured, analytics-ready data.
• Provide technical leadership, best practices, and guidance on data engineering and cloud architecture.

Required Skills & Experience:

• 10+ years

  of overall experience in data engineering and analytics.
• Proven experience building

  cloud-based enterprise data warehouses

  and reporting platforms on

  AWS and Azure

  .
• Strong expertise in

  Snowflake

  , including data modeling, performance tuning, and optimization.
• Extensive experience with

  Big Data architectures

  and tools, including:
• Hadoop File System (HDFS)
• Spark (Spark SQL, PySpark)
• Hive
• Strong programming and query skills in

  SQL, Python, Postgres

  , and related technologies.
• Hands-on experience with

  Azure Databricks

  and the broader Azure data ecosystem.
• Deep experience working across

  both AWS and Azure stacks

  .
• Expertise in writing and optimizing

  complex business queries

  to support advanced analytical scenarios.
• Strong analytical mindset with the ability to understand and interpret

  CPG market data

  , media data, and performance metrics.

Preferred Qualifications:

• Experience supporting

  Media ROI, marketing analytics, or digital media measurement

  initiatives.
• Experience working in cross-functional or stakeholder-facing environments.
• Strong communication skills with the ability to explain complex technical concepts to non-technical audiences.