At Mitratech, we are a team of technocrats focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities, and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available.
For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries.
As we continue to grow, we’re always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work!
Job Description
We are seeking a highly motivated and skilled Analytics Engineer to join our dynamic data team. The ideal candidate will possess a strong background in data engineering and analytics, with hands-on experience in modern analytics tools such as Airbyte, Fivetran, dbt, Snowflake, Airflow, etc. This role will be pivotal in transforming raw data into valuable insights, ensuring data integrity, and optimizing our data infrastructure to support the organization's data platform.
Essential Duties & Responsibilities
- Data Integration and ETL Processes:
- Design, implement, and manage ETL pipelines using tools like Airbyte and Fivetran to
ensure efficient and accurate data flow from various sources into our Snowflake data
warehouse. - Maintain and optimize existing data integration workflows to improve performance and
scalability.
- Design, implement, and manage ETL pipelines using tools like Airbyte and Fivetran to
- Data Modeling and Transformation:
- Develop and maintain data models using dbt / dbt Cloud to transform raw data into
structured, high-quality datasets that meet business requirements. - Ensure data consistency and integrity across various datasets and implement data
quality checks.
- Develop and maintain data models using dbt / dbt Cloud to transform raw data into
- Data Warehousing:
- Manage and optimize our Redshift / Snowflake data warehouses, ensuring it meets
performance, storage, and security requirements. - Implement best practices for data warehouse management, including partitioning,
clustering, and indexing.
- Manage and optimize our Redshift / Snowflake data warehouses, ensuring it meets
- Collaboration and Communication:
- Work closely with data analysts, data scientists, and business stakeholders to
understand data requirements and deliver solutions that meet their needs. - Communicate complex technical concepts to non-technical stakeholders in a clear and
concise manner.
- Work closely with data analysts, data scientists, and business stakeholders to
- Continuous Improvement:
- Stay updated with the latest developments in data engineering and analytics tools, and
evaluate their potential to enhance our data infrastructure. - Identify and implement opportunities for process improvements, automation, and
optimization within the data pipeline.
- Stay updated with the latest developments in data engineering and analytics tools, and
Requirements & Skills:
- Education and Experience:
- Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
- 3-5 years of experience in data engineering or analytics engineering roles.
- Experience in AWS and DevOps is a plus.
- Technical Skills:
- Proficiency with modern ETL tools such as Airbyte and Fivetran.
- Must have experience with dbt for data modeling and transformation.
- Extensive experience working with Snowflake or similar cloud data warehouses.
- Solid understanding of SQL and experience writing complex queries for data extraction and
manipulation. - Familiarity with Python or other programming languages used for data engineering tasks.
- Analytical Skills:
- Strong problem-solving skills and the ability to troubleshoot data-related issues.
- Ability to understand business requirements and translate them into technical specifications.
- Soft Skills:
- Excellent communication and collaboration skills.
- Strong organizational skills and the ability to manage multiple projects simultaneously.
- Detail-oriented with a focus on data quality and accuracy.
We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.
