Data Engineer - Databricks
Role details
Job location
Tech stack
Job description
- Assess and understand ETL jobs, workflows,data marts,BI tools, and reports
- Address technical inquiries concerning customization, integration, enterprise architecture and general feature/functionalityof data products
- Experienceworking withdatabase/data warehouse/data martsolutions in cloud (Preferably AWS. Alternatively Azure, GCP).
- Key must have skill sets -Databricks,SQL,PySpark/Python,AWS
- Support an Agile software development lifecycle
- You will contribute to the growth of ourAI &Data Exploitation Practice!
Requirements
We are looking forseasoned a Data Engineer to work with our team and our clients to developenterprise grade data platforms, services, and pipelinesin Databricks. We are looking for more than just a "Data Engineer", we are looking for a technologist with excellent communication and customer service skills and a passion for data and problem solving., * Ability to hold a position of public trust with the US government.
- 2-4years industry experience coding commercial software and a passion for solving complex problems.
- 2-4years direct experience in Data Engineering with experience in tools such as:
- Big data tools:Databricks, Apache Spark, Delta Lake, etc.
- Relational SQL(PreferablyT-SQL.AlternativelypgSQL, MySQL).
- Data pipeline and workflow management tools:Databricks Workflows, Airflow,Step Functions,etc.
- AWS cloud services:Databricks on AWS, S3,EC2, RDS(or Azure equivalents).
- Object-oriented/object function scripting languages:PySpark/Python, Java, C++, Scala, etc.
- Experienceworking withData Lakehouse architecture andDelta Lake/Apache Iceberg.
- Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases.
- Experience manipulating, processing,and extracting value from large, disconnected datasets.
- Ability toinspect existing data pipelines, discern their purpose and functionality, and re-implement them efficiently in Databricks.
- Experience manipulating structured and unstructured data.
- Experience architecting data systems (transactional and warehouses).
- Experiencethe SDLC, CI/CD, andoperatingin dev/test/prod environments.
- Experience with data cataloging tools such as Informatica EDC, Unity Catalog, Collibra, Alation, Purview, orDataZoneis a plus.
- Commitment to data governance.
- Experience working in an Agile environment.
- Experience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models.
Benefits & conditions
Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $110,000 to $160,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here.