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Data engineer

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Offer summary

Qualifications:

Master’s or Bachelor’s degree in computer science, Data Science, Data Management, Statistics or related fields, Proven experience in developing and implementing data pipelines (ETL) in financial institutions, Advanced SQL knowledge (BigQuery, PL SQL, MS SQL, Hive SQL etc).

Key responsabilities:

  • Design, develop, and maintain ETL pipelines for data integration
  • Automate ETL processes, optimize data throughput and ensure data quality assurance
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Matrix-IFS XLarge https://www.matrix-ifs.com/
10001 Employees
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Job description

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Your missions

Description

As a Data Engineer, your role involves designing, developing, and maintaining robust ETL (Extract, Transform, Load) pipelines that seamlessly integrate data from diverse source systems into the Actimize platform, specifically the Unified Data Model (UDM). Your key responsibilities include:

  • ETL Pipeline Development:Design, develop, and maintain ETL pipelines to extract, transform, and load data from various source systems into Actimize’s UDM.
  • Ensure data integration is efficient, scalable, and minimizes latency.
  • Automation and Optimization:Automate ETL processes to enhance efficiency and scalability.
  • Optimize data throughput to handle large volumes of data.
  • Data Quality Assurance:Establish a data quality framework to maintain consistency, accuracy, and good quality of processed data.
  • Develop validation rules and perform data cleansing activities.
  • Data Modeling and Schema Design:Design and implement data models and schemas that align with the specific requirements of AML SAM (Suspicious Activity Monitoring) solutions.
  • Refer to Actimize’s Data Requirement Document (DRD) and Mapping for guidance.
  • Data Mapping and Transformation:Create data mapping documents and scripts to accurately map data from source systems to Actimize’s target schemas.
  • Ensure seamless data transformation during the ETL process.
  • Database Optimization:Optimize database performance through techniques such as indexing, partitioning, and query optimization.
  • Support large-scale data processing and analytics.


Requerments

  •   Master’s or Bachelor’s degree in computer science, Data Science, Data Management, Statistics or related fields
  • ·  Proven experience in developing and implementing data pipelines (ETL) in financial institutions.
  •   Proven experience in Data Analytics and interpretation of large volumes of Data
  • Advanced SQL knowledge (BigQuery, PL SQL, MS SQL, Hive SQL etc.


Our wide range of services includes cutting-edge technology solution services, strategic consulting, digital transformation, cloud computing, cybersecurity, and managed services. Whether it's developing customized software applications, streamlining business processes, implementing robust IT infrastructure, or managing complex projects, our expertise and industry knowledge enable us to deliver value-added solutions that meet each client's unique requirements.

Come and join a winning team! You'll be challenged, have fun, and be a part of a highly respected organization! Matrix offers a competitive base salary and a complete benefit package. Benefits include medical, dental, 401K, STD, HSA, and PTO.


EQUAL OPPORTUNITY EMPLOYER: Matrix is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind. Matrix is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Matrix are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, family or parental status, or any other status protected by the laws or regulations in our locations. Matrix will not tolerate discrimination or harassment based on any of these characteristics. Matrix encourages applicants of all ages.


Required profile

Experience

Spoken language(s):
Check out the description to know which languages are mandatory.

Hard Skills

Soft Skills

  • motivational-skills
  • Detail-Oriented
  • open-mindset
  • Analytical Thinking

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