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Job Description

We are seeking a highly skilled and motivated Data Engineer to join our Business Compliance team. The ideal candidate will have extensive experience in building and optimizing ETL/ELT pipelines for large-scale, petabyte-level data and time-series datasets. This role will focus on enterprise reporting and will require expertise in cloud solutions, real-time data indexing, and time-series databases.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

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Skills and Requirements

Proficiency in building and optimizing ETL/ELT pipelines for large-scale, petabyte-level data and time-series datasets, ensuring high performance and low latency.

• Expertise in AWS (e.g., Data Fabric) and Azure (e.g., Data Factory, Azure Blob) cloud solutions

• Hands-on experience with Elastic Stack (Elasticsearch, Logstash, Kibana) for real-time data indexing, querying, monitoring, and visualization.

• Strong experience with time-series databases (e.g., Prometheus, InfluxDB, TimeScaleDB) for high-resolution analytics and operational insights and knowledge on NoSQL database.

• Strong development skills in Python.

• Expertise in cloud architecture

• Proven ability to collaborate with data engineering, infrastructure, and application teams to design and implement end-to-end solutions.

• Experience optimizing and managing massive data loads and ensuring reliability, scalability, and fault tolerance in cloud environments.

• Familiarity with BI tools like Tableau and their integration with data pipelines to support business decision-making

• Strong communication and collaboration skills. null

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].