Marketing Data Engineer

12 hours ago

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5001 - 10000

Description

• Architect and develop scalable ETL/ELT pipelines to extract, transform, and load structured and unstructured data • Build, optimize, and manage cloud-based data warehouses to handle large-scale data processing • Develop and implement data integration solutions (both batch and near real time) • Implement automated processes for data validation, ensuring high standards of data quality • Work closely with various teams to understand data requirements and support analytics • Collaborate with stakeholders to integrate data from various business systems • Continuously monitor and fine-tune data workflows, SQL queries, and cloud resources

Requirements

• Bachelor’s degree in a STEM field • 5+ years of hands-on experience in data engineering • Expertise in SQL : Complex queries, optimization techniques, stored procedures, and automation of data workflows • Strong Python skills for data manipulation, automation (e.g., Pandas, PySpark), and scripting ETL workflows • Experience building highly scalable and robust data processes • Experience with cloud data warehouses: Snowflake (preferred), Redshift, BigQuery, or Azure Synapse, including performance tuning, partitioning, and clustering • API Integrations: Experience working with BULK and REST APIs to ingest data from third-party platforms and build robust integrations • Cloud Infrastructure Proficiency: AWS, GCP, or Azure, including services such as S3, Lambda, Glue, DataProc, DataFlow, or Cloud Functions • Data Orchestration & Automation Tools: Proficiency with Airflow, astronomer, or similar for automating and orchestrating ETL pipelines • Data Quality & Validation: Strong experience in building and automating data validation, quality checks, and error-handling pipelines • Bonus Points: Marketing Automation Tools Knowledge: Experience with platforms such as Salesforce, Marketo, People.ai, Outreach and CRM systems for data integration and processing • Experience with CI/CD pipelines for automating data pipeline deployments • Understanding of machine learning concepts: Ability to collaborate with data science teams and support machine learning initiatives through data preparation, transformation and Feature store support

Benefits

• Remote-first culture • Market leader in compensation and equity awards • Competitive vacation and flexible working arrangements • Comprehensive and inclusive health benefits • Physical and mental wellness programs • Paid parental leave, including adoption • A variety of professional development and mentorship opportunities • Offices with stocked kitchens when you need to fuel innovation and collaboration