Data Engineer

Akaasa Technologies

Charlotte, NC, United States

1 day ago

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Role details

Contract type

Temporary to permanent

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Compensation

$120,000.0 - $145,000.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Third Normal Form Data Cleansing Information Engineering Data Integration Data Mining Data Security Data Structures Systems Integration Transaction Data Enterprise Data Management Snowflake AWS Glue

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Tools for Reporting Data Pipelines

Job description

We are seeking an experienced Data Engineer to design, develop, and maintain data pipelines that move critical transactional data from source systems into enterprise analytics platforms. The candidate will work across teams to deliver trusted, well-governed, and scalable data solutions supporting analytics, reporting, and emerging data use cases. Compliance For positions with Global Investors, employees may be required to comply with a Code of Ethics covering personal and business conduct, including personal trading activities for the employee and members of their household. Similar requirements may apply to other positions across the organization.

Requirements

Recent hands-on experience working with financial services/financial clients is required.
Bachelor’s degree with 6 10 years of related experience, or Master’s degree in a related field with 2 8 years of related experience.
Proven experience as an IT/Data Engineering professional.
Strong experience building and operating data extraction, ingestion, and processing systems.
Experience with data modeling techniques and data structures.
Experience optimizing data for analytics and data science.
Experience with business intelligence and reporting tools.
Experience integrating and managing datasets from multiple sources.
Strong analytical, problem-solving, planning, organizational, and decision-making skills.
Excellent communication and presentation skills.
Ability to collaborate effectively with technical and business teams.
Ability to communicate technical strategies and designs to stakeholders at all levels.
Strong attention to accuracy, confidentiality, and data security.

Skills

Experience with modern enterprise data platforms, particularly Snowflake.
Experience with data quality tools such as Ataccama.
Experience with data integration tools such as AWS Glue, Fivetran, or Informatica IDMC.
Experience with transactional/source-system data modeling, including 3NF.
Experience with data pipeline monitoring, observability, and reliability.
Experience working with financial or transactional datasets in enterprise environments.