Senior Staff Data Engineer - Tech Lead

The Hartford

United States

United States

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Über

Join our innovative team as a Senior Staff Data Engineer and play a key role in transforming the data landscape of our organization. As a valued member of our team, you will be instrumental in developing, enhancing, and supporting robust ETL data pipelines and storage solutions across a variety of exciting projects. Your primary responsibilities will include designing and optimizing data architectures to ensure high performance and scalability, while also mentoring fellow data engineers in a collaborative environment. You will leverage your expertise in cloud technologies (AWS, GCP, Snowflake) to modernize legacy systems and implement cutting-edge data solutions. In this role, you will: Modernize legacy data assets:
Migrate and re-engineer them into modern cloud solutions for improved efficiency. Design and develop ETL/ELT pipelines:
Ensure resilience and performance for both structured and unstructured data. Utilize cloud services:
Build and manage data pipelines using technologies like AWS Glue, EMR, and Snowflake. Curate and publish Data Products:
Support analytics, machine learning, and Generative AI initiatives. Implement DataOps practices:
Facilitate automated deployments and continuous delivery of data solutions. Champion Data Governance:
Establish frameworks for data quality management and metadata management. Integrate AI/ML models:
Enable real-time scoring and model retraining workflows. Develop BI dashboards:
Create visual solutions using tools like Power BI or Tableau to deliver insights. Monitor performance:
Fine-tune data pipelines using advanced observability tools. Continuously improve:
Stay ahead of industry trends and drive innovation in DataOps and AI/ML. This position is ideal for someone with: A degree in computer science or related field. 7+ years of experience in data analysis and development. Proficiency in SQL, Python, and ETL tools like Informatica IDMC. Experience with cloud platforms such as AWS, GCP, and Snowflake. A strong background in Agile methodologies and DevOps practices. This role offers a hybrid work schedule. Candidates located near our office in Charlotte, NC, Hartford, CT, Chicago, IL, or Columbus, OH will be expected to work in the office three days a week (Tuesday through Thursday). We invite you to apply and be part of our journey to shape the future!

United States

Sprachkenntnisse

English

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