Remote Senior Data Engineer - AWS Databricks

Description:

• B360 is an award-winning marketing and analytics consulting firm recognized for providing solutions to Fortune 500 and mid-sized companies.
• The Senior Data Engineering Manager will lead major projects within BLEND360 and work with the data engineering team to develop innovative data-driven solutions.
• Responsibilities include collaborating with stakeholders to understand data needs, leading Data Engineers to build and maintain the Data Platform, and working on emerging technologies to build distributed applications.
• The role involves driving end-to-end development efforts for high-quality solutions, presenting technical solutions in business terms, and further developing initiatives like Data Discovery, Data Lineage, and Data Quality.
• The manager will mentor junior resources, help team members grow, build data systems and pipelines, and conduct complex data analysis.

Requirements:

• Candidates must have 7+ years of experience and a degree in Computer Science, Data Science, Mathematics, IT, or a similar field.
• A minimum of 3-5 years of experience as a data engineer or in a similar role is required.
• Experience executing projects end-to-end is essential.
• Technical expertise in data models, data mining, and segmentation techniques is necessary.
• A deep understanding of at least one object-oriented library (Python, Scala) is required.
• Strong SQL skills and a good understanding of SQL warehouses and relational databases are mandatory.
• Proficiency in Spark, PySpark, Spark SQL, and distributed processing frameworks is needed.
• Candidates should be able to build large-scale batch and real-time data pipelines.
• The ability to work independently and mentor junior resources is important.
• A desire to lead and develop a team of Data Engineers across multiple levels is required.
• Nice to have: Cloud experience (AWS, Azure, GCP), Snowflake, Databricks, Hadoop, DBT, Elastic Search, Data modeling, Airflow, CI/CD, Agile Methodologies, Docker/Kubernetes.

Benefits:

• Learning opportunities include certifications in AWS, Databricks, and Snowflake, access to AI learning paths, tailored study plans, and English lessons for professional communication.
• Mentoring and development programs are available to help shape career paths.
• Celebrations and support include anniversary and birthday gifts, as well as company-provided equipment for remote work.
• Regional flexibility is offered, with additional benefits that may vary according to location in LATAM.