USA_Developer

Varite-posted 2 months ago

$54 - $68/Yr

Jacksonville, FL

251-500 employees

Professional, Scientific, and Technical Services

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We are looking for an astute, determined professional like you to fulfill a Data Engineering role within our Technology Solutions Group. As a Cloud Data Engineer Developer, you will be responsible for designing, developing, and maintaining data pipelines and data infrastructure on cloud platforms. You will work closely with cross-functional teams to ensure the efficient extraction, transformation, loading, and analysis of data from various sources into our cloud-based data systems.

Design and implement scalable and efficient data architectures on cloud platforms such as Amazon Web Services (AWS) and Microsoft Azure.
Develop and maintain robust and scalable data pipelines to extract, transform, and load (ETL) data from diverse sources into cloud-based data systems.
Apply data transformation techniques to clean, normalize, and enrich data for analysis and reporting purposes.
Implement data quality checks, data profiling, and data validation processes to ensure data accuracy, completeness, and consistency.
Design and implement data warehousing solutions on cloud platforms, utilizing technologies like AWS Redshift, Snowflake.
Implement data security measures, access controls, and encryption mechanisms to ensure the confidentiality and integrity of sensitive data.
Monitor and optimize the performance of data pipelines and data processing workflows.
Collaborate closely with cross-functional teams, including data architects, data analysts, and business stakeholders.
Document data engineering processes, data pipelines, and data infrastructure architectures.
Stay up to date with the latest cloud technologies, data engineering tools, and best practices.

Bachelor's degree in Computer Science, Software Engineering, or a related field (Master's degree preferred).
Proven experience as a Data Engineer or similar role, with a focus on cloud-based data engineering.
Strong expertise in AWS cloud platforms and related services like S3, EC2, Lambda, Glue etc.
Proficiency in programming language Python, for data engineering and scripting tasks.
Experience with data integration and ETL tools like Apache Spark, DBT or cloud-native solutions.
Familiarity with data warehousing concepts and technologies like Redshift, Snowflake, or Synapse Analytics.
Solid understanding of data modeling, data governance, and data quality principles.
Knowledge of SQL, database systems, and data querying optimization techniques.

Experience working in Hadoop or other big data platforms.
Exposure to deploying code through pipeline.
Good exposure to Containers like ECS or Docker.
Direct experience supporting multiple business units for foundational data work and sound understanding of capital markets within Fixed Income.
Knowledge of Jira, Confluence, SAFe development methodology & DevOps.
Excellent analytical and problem-solving skills with the ability to think quickly and offer alternatives both independently and within teams.
Proven ability to work quickly in a dynamic environment.

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