Senior Data Engineer - AWS Databricks
Senior Data Engineer - AWS Databricks
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Our new Senior Data Engineering Manager will be in the forefront of driving major projects within BLEND360 and working with our data engineering team to develop innovative data driven solutions that integrate distributed sources of data perform large scale learning and reasoning and integrate results.
Job Description
As a Senior Data Engineering Manager your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of new project as well as selecting the tech stack associated with it. You will plan out the develop cycles deploying AGILE if possible as well as creating the foundations for good data stewardship with our new data products!
You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use casesa tough but rewarding challenge!
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
Qualifications :
Qualifications
- 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
- Nice to have: Cloud experience (AWS Azure GCP) Snowflake Databricks Hadoop DBT Elastic Search Data modeling Airflow CICD Agile Methodologies DockerKubernetes
Additional Information :
Our Perks and Benefits:
Learning Opportunities:
- 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.
Mentoring and Development:
- Career development plans and mentorship programs to help shape your path.
Celebrations & Support:
- Anniversary and birthday gifts.
- Company-provided equipment for remote work.
Regional Flexibility:
- Other benefits may vary according to your location in LATAM
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
