Join Connecteam: Elevate Your Career as a DataOps/Analytics Engineer

Connecteam is a dynamic startup based in Tel Aviv, on a mission to revolutionize the work experience for the 80% of the global workforce who are deskless employees. Our innovative business management platform empowers thousands of businesses to focus on growth and efficiency by simplifying the complexities of team management.

About the Role: DataOps/Analytics Engineer

We are seeking a highly talented, experienced, and passionate DataOps/Analytics Engineer. In this role, you will bridge the gap between our data engineering and analytics teams, focusing on the orchestration, maintenance, and optimization of our analytics infrastructure.

Key Responsibilities

Orchestration Pipelines: Design and manage data orchestration pipelines using Dagster.

Data Modeling: Develop and enforce guidelines for data modeling in dbt, ensuring comprehensive documentation and best practice adherence.

Data Warehousing: Maintain and optimize our BigQuery data warehouse with a focus on performance monitoring, cost management, and data quality.

Data Catalog Management: Enhance and maintain our Data Hub data catalog.

CI/CD Management: Implement CI/CD processes, orchestration pipelines, and automated data quality monitoring to streamline workflows.

Infrastructure Management: Utilize Kubernetes for hosting and manage tools such as Elasticsearch and Grafana.

Data Quality: Implement and monitor data quality processes, including alerting and reporting mechanisms.

Development Workflow Optimization: Improve and maintain development workflows for efficient data product delivery.

Collaborative Design: Work with business users and data analysts to design and build data models that enhance data discovery and analysis.

Standards and Best Practices: Contribute to internal standards for style, maintainability, and best practices for scalable data infrastructure.

Documentation and Scalability: Maintain documentation, manage technical debt, and ensure scalable infrastructure.

Requirements

Skills: Proficiency in Python, Bash, SQL, and Jinja.

Data Workflows: In-depth understanding of data workflows, database architecture, and data modeling (DBT).

Data Warehousing: Expertise in data warehousing, including performance monitoring, cost management, data partitioning, and query optimization (BigQuery).

Data Cataloging: Familiarity with data cataloging (Data Hub).

CI/CD Processes: Hands-on experience with CI/CD processes.

Infrastructure Tools: Basic knowledge of Kubernetes, Elasticsearch, and Grafana.

Why Join Connecteam?

Professional Growth: We invest in our team members, offering continuous learning and development opportunities to enhance your skills and job performance.

Impactful Work: Make a significant impact on businesses by providing managers with the tools to effectively engage and manage their deskless workforce.

Passionate Team: Our employees are dedicated to their roles, driving the company forward to deliver real value to customers.

Fun and Inclusive Culture: Enjoy a vibrant work environment with weekly happy hours, holiday parties, and a supportive team atmosphere.

Diverse and Supportive: We are committed to building an inclusive, caring, and supportive environment for all team members.

Together, let's shape the future of work!

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Company: Connecteam

Job Title: DataOps/Analytics Engineer