Data Engineer

Akaasa Technologies; Charlotte (NC); Hybrid; USD 83,000 - 165,000; Full time

Job summary

Akaasa Technologies is seeking an experienced Data Engineer in Charlotte, NC to design, build, and maintain data pipelines moving financial transactions into analytics platforms. You will collaborate across teams to deliver trusted, well-governed data solutions for analytics, reporting, and emerging use cases.

Responsibilities include building scalable data ingestion/processing, data modeling (3NF), and ensuring data quality and security.

Qualifications

• Recent hands-on experience with financial services clients is required.
• Bachelor's degree with 6-10 years related experience, or Master's with 2-8 years 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.

Responsibilities

• Design, develop, and maintain data pipelines moving critical transactional data to analytics platforms.
• Collaborate with cross-functional teams to deliver trusted data for analytics and reporting.
• Ensure data is well-governed, scalable, and secure, meeting business needs.

Skills

Data pipelines

Data modeling

BI & reporting

Communication

Collaboration

Snowflake

Ataccama

AWS Glue

Fivetran

Informatica IDMC

3NF modeling

Observability

Financial services experience

Education

Bachelor's degree (6-10 yrs)

Master's degree (2-8 yrs)

Tools

Snowflake

Ataccama

AWS Glue

Fivetran

Informatica IDMC

3NF

Observability tooling

Job description

Data Engineer

Location:

Charlotte, NC Local Remote

Duration:

6 Months

Visa

USC/GC-EAD/H4-EAD

Interview

1st Round Virtual | 2nd Round In-Person

Note:

• Must have recent financial client/financial services experience.
• Local only with DL copy
• LinkedIn with location (before 2022)

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.

Qualifications

• 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.