Senior Data Engineer

Summary

Join B360, an award-winning marketing and analytics consulting firm, as our new Senior Data Engineering Manager. You will spearhead data engineering teams, developing innovative data-driven solutions integrating distributed data sources. Responsibilities include leading data engineers, defining data platform architecture, working with emerging technologies, and driving end-to-end development. You will also present technical solutions, further critical initiatives like data discovery, and mentor junior resources. This role requires 7+ years of experience, a relevant degree, and expertise in data models, mining, and SQL. Strong Spark, PySpark, and SQL skills are essential.

Requirements

• 7+ Years of Experience
• Degree in Computer Science, Data Science, Mathematics, IT, or similar field
• 3 - 5 Years of Experience as a data engineer or similar role
• Must have experience executing projects end to end
• Technical expertise with data models, data mining, and segmentation techniques
• Deep understanding, both conceptually and in practice of at least one object orientated library (Python, Scala)
• Strong SQL skills and a good understanding of existing SQL warehouses and relational databases
• Strong Spark, PySpark, Spark SQL skills and good understanding of distributed processing frameworks
• Build large-scale batch and real-time data pipelines
• Ability to work independently and mentor junior resources
• Desire to lead and develop a team of Data Engineers across multiple levels

Responsibilities

• Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale
• Lead Data Engineers to define, build and maintain Data Platform
• Work on emerging technologies, building distributed applications
• Drive development effort End-to-End for on-time delivery of high quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards
• Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner
• Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality
• Lead and Mentor junior resources
• Help your team members grow in their role and achieve their career aspirations
• Build data systems, pipelines, analytical tools and programs
• Conduct complex data analysis and report on results

Preferred Qualifications

Cloud experience (AWS, Azure, GCP), Snowflake, Databricks, Hadoop, DBT, Elastic Search, Data modeling, Airflow, CI\CD, Agile Methodologies, Docker\Kubernetes

Benefits

• Certifications in AWS (we are AWS Partners), Databricks, and Snowflake
• Access to AI learning paths to stay up to date with the latest technologies
• Study plans, courses, and additional certifications tailored to your role
• English lessons to support your professional communication
• Career development plans and mentorship programs to help shape your path
• Anniversary and birthday gifts
• Company-provided equipment for remote work