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Data Engineer
Data EngineerAlbano Systems, Inc. • Charlotte, NC, US
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Data Engineer

Data Engineer

Albano Systems, Inc. • Charlotte, NC, US
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

W2 ONLY - NO CORP TO CORP - CONTRACT TO HIRE - NO VISA SPONSOR/TRANSFER - NO 3RD PARTY AGENCY CANDIDATES

Data Engineer

Serve as subject matter expert and/or technical lead for large-scale data products.

Drive end-to-end solution delivery across multiple platforms and technologies, leveraging ELT solutions to acquire, integrate, and operationalize data.

Partner with architects and stakeholders to define and implement pipeline and data product architecture, ensuring integrity and scalability.

Communicate risks and trade-offs of technology solutions to senior leaders, translating technical concepts for business audiences.

Build and enhance data pipelines using cloud-based architectures.

Design simplified data models for complex business problems.

Champion Data Engineering best practices across teams, implementing leading big data methodologies (AWS, Hadoop/EMR, Spark, Snowflake, Talend, Informatica) in hybrid cloud/on-prem environments.

Operate independently while fostering a collaborative, transformation-focused mindset.

Work effectively in a lean, fast-paced organization, leveraging Scaled Agile principles.

Promote code quality management, FinOps principles, automated testing, and environment management practices to deliver incremental customer value.

Qualifications

5+ years of data engineering experience.

2+ years developing and operating production workloads in cloud infrastructure.

Bachelor's degree in Computer Science, Data Science, Information Technology, or related field.

Hands-on experience with Snowflake (including SnowSQL, Snowpipe).

Expert-level skills in AWS services, Snowflake, Python, Spark (certifications are a plus).

Proficiency in ETL tools such as Talend and Informatica.

Strong knowledge of Data Warehousing (modeling, mapping, batch and real-time pipelines).

Experience with DataOps tools (GitHub, Jenkins, UDeploy).

Familiarity with P&C Commercial Lines business.

Knowledge of legacy tech stack: Oracle Database, PL/SQL, Autosys, Hadoop, stored procedures, Shell scripting.

Experience using Agile tools like Rally.

Excellent written and verbal communication skills to interact effectively with technical and non-technical stakeholders.

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