Data Engineer

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Edelman

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Public Relations • Digital Communications • Social Media Marketing • Strategic Communications • Marketing

5001 - 10000 employees

Founded 1952

🤝 B2B

📱 Media

Description

• Edelman is a voice synonymous with trust, reimagining a future of communication. • Our culture thrives on boldness, empathy, and curiosity. • We understand diversity, equity, inclusion, and belonging transform our workplaces. • We are in pursuit of an inspiring and equitable workplace that fosters collaboration. • Currently seeking a Data Engineer with 3-5 years’ experience in AGILE environments. • Desired skills include cloud infrastructure tools like Apache Airflow, Databricks, and Snowflake. • Familiarity with real-time data processing and AI implementation is advantageous. • Collaborative work environment valuing every team member’s voice. • Exciting journey in designing modern data pipelines and optimizing workflows. • Focus on data ingestion, transformation, storage and analysis ensuring high data quality. • Exploring Generative AI for tasks like data enrichment and automated reporting. • Unique opportunity to work on batch processing, streaming data pipelines, and automation. • Empowering engineers to explore new tools while delivering high-quality solutions.

Requirements

• Minimum of 3 years experience deploying enterprise level scalable data engineering solutions. • Strong examples of independently developed data pipelines end-to-end. • Proven track record of building and managing scalable cloud-based infrastructure on AWS. • Proven track record of implementing and managing AI model lifecycle. • Experience using Apache Airflow, Snowflake, Lucene-based search engines. • Experience with Databricks (Delta format, Unity Catalog). • Advanced SQL and Python knowledge with associated coding experience. • Strong Experience with DevOps practices for CI/CD. • Experience wrangling structured & unstructured file formats. • Understanding and implementation of best practices within ETL and ELT processes. • Data Quality best practice implementation using Great Expectations. • Real-time data processing experience using Apache Kafka. • Work independently with minimal supervision. • Takes initiative and is action-focused. • Mentor and share knowledge with junior team members. • Collaborative with strong ability to work in cross-functional teams. • Excellent communication skills. • Fluency in spoken and written English.

Benefits

• Competitive compensation package• Annual bonuses• Paid Time Off policy• Region-specific benefits