eTeam
Job Title :
Databricks Data Engineer Job Type: Contract Duration: 6 Months 100% Remote role
Job Summary: We are seeking a skilled and experienced Data Engineer to join our team and take a pivotal role in building, optimizing, and maintaining our Databricks platform. As a technical team member, you will leverage your expertise in cloud technologies and data engineering to ensure high performance and scalability of our data solutions. This position requires a passion for data, a commitment to innovation, and a focus on delivering efficient and effective solutions.
Key Responsibilities:
Ability to
analyze
data and support data preparation Design
and maintain data pipelines for streaming data, batch processing, and real-time analytics. Ability to
build
data pipelines for different ingestion patterns. Apply data modeling concepts to pipelines. Implement basic data validation checks in pipelines. Automate execution and deployment of pipelines. Collaborate with Data Platform Architects and Data Engineers to
integrate
feature stores, manage model deployment, and implement data preparation workflows. Support data preparation, exploration, and
visualization
to facilitate data-driven decision-making. Work closely with
other engineering teams
to ensure data pipelines are secure, efficient, and aligned with business requirements. Document
current and future state data flows
Qualifications:
Bachelor's degree in Computer Science, a technical field, or a related business discipline. Equivalent experience, certifications, or training will be considered. 5+ years of experience in designing and delivering secure cloud solutions. 2+ years of experience with Databricks 2+ years of experience with AWS (preferred) Experience with Agile methodology Strong problem-solving, analytical, and communication skills.
Databricks Data Engineer Job Type: Contract Duration: 6 Months 100% Remote role
Job Summary: We are seeking a skilled and experienced Data Engineer to join our team and take a pivotal role in building, optimizing, and maintaining our Databricks platform. As a technical team member, you will leverage your expertise in cloud technologies and data engineering to ensure high performance and scalability of our data solutions. This position requires a passion for data, a commitment to innovation, and a focus on delivering efficient and effective solutions.
Key Responsibilities:
Ability to
analyze
data and support data preparation Design
and maintain data pipelines for streaming data, batch processing, and real-time analytics. Ability to
build
data pipelines for different ingestion patterns. Apply data modeling concepts to pipelines. Implement basic data validation checks in pipelines. Automate execution and deployment of pipelines. Collaborate with Data Platform Architects and Data Engineers to
integrate
feature stores, manage model deployment, and implement data preparation workflows. Support data preparation, exploration, and
visualization
to facilitate data-driven decision-making. Work closely with
other engineering teams
to ensure data pipelines are secure, efficient, and aligned with business requirements. Document
current and future state data flows
Qualifications:
Bachelor's degree in Computer Science, a technical field, or a related business discipline. Equivalent experience, certifications, or training will be considered. 5+ years of experience in designing and delivering secure cloud solutions. 2+ years of experience with Databricks 2+ years of experience with AWS (preferred) Experience with Agile methodology Strong problem-solving, analytical, and communication skills.