Matrix USA
Job Summary
We are seeking a highly skilled ETL Developer with strong expertise in SQL and Python or PySpark to join our data engineering team at a leading financial institution. The ideal candidate will have at least 5 years of experience in the banking sector, with a solid understanding of Anti‑Money Laundering (AML) processes and compliance requirements. This role involves designing, developing, and maintaining robust ETL pipelines to support AML analytics, regulatory reporting, and financial crime detection. Hybrid – Mumbai, India.
Key Responsibilities
Design, develop, and optimize ETL workflows using SQL and Python/PySpark to process large‑scale financial data.
Collaborate with AML analysts, data scientists, and compliance teams to understand data requirements and deliver high‑quality solutions.
Implement data quality checks, validation rules, and exception handling within ETL pipelines.
Work with structured and semi‑structured data from various banking systems (e.g., transaction data, customer profiles, KYC).
Ensure compliance with data governance, security, and regulatory standards (e.g., BSA/AML, FATCA).
Participate in code reviews, performance tuning, and production support.
Document technical specifications, data flow diagrams, and operational procedures.
Required Qualifications
Minimum 5 years of experience in the banking industry, with a focus on data engineering or analytics.
Proven experience in ETL development using SQL and Python or PySpark.
Strong understanding of AML frameworks, typologies, and regulatory requirements.
Experience with big data platforms (e.g., Hadoop, Spark) and cloud environments (e.g., AWS, Azure, GCP).
Familiarity with data warehousing concepts and tools (e.g., Snowflake, Redshift, Hive).
Excellent problem‑solving skills and attention to detail.
Strong communication and collaboration abilities.
Preferred Qualifications
Experience with AML transaction monitoring systems (e.g., Actimize, Mantas).
Knowledge of financial crime analytics, sanctions screening, and fraud detection.
Exposure to CI/CD pipelines and version control (e.g., Git, Jenkins).
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
Why Join Us
Work on impactful projects that help combat financial crime.
Collaborate with cross‑functional teams in a dynamic banking environment.
Opportunity to grow within a global financial institution.
About Matrix Matrix is a global, dynamic, fast‑growing technical consultancy leading technology services company with 13,000 employees worldwide. We specialize in implementing and developing leading technologies, software solutions, and products for private and public sectors across Finance, Telecom, Health, Hi‑Tech, Education, and Defense.
Equal Employment Opportunity 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 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.
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Key Responsibilities
Design, develop, and optimize ETL workflows using SQL and Python/PySpark to process large‑scale financial data.
Collaborate with AML analysts, data scientists, and compliance teams to understand data requirements and deliver high‑quality solutions.
Implement data quality checks, validation rules, and exception handling within ETL pipelines.
Work with structured and semi‑structured data from various banking systems (e.g., transaction data, customer profiles, KYC).
Ensure compliance with data governance, security, and regulatory standards (e.g., BSA/AML, FATCA).
Participate in code reviews, performance tuning, and production support.
Document technical specifications, data flow diagrams, and operational procedures.
Required Qualifications
Minimum 5 years of experience in the banking industry, with a focus on data engineering or analytics.
Proven experience in ETL development using SQL and Python or PySpark.
Strong understanding of AML frameworks, typologies, and regulatory requirements.
Experience with big data platforms (e.g., Hadoop, Spark) and cloud environments (e.g., AWS, Azure, GCP).
Familiarity with data warehousing concepts and tools (e.g., Snowflake, Redshift, Hive).
Excellent problem‑solving skills and attention to detail.
Strong communication and collaboration abilities.
Preferred Qualifications
Experience with AML transaction monitoring systems (e.g., Actimize, Mantas).
Knowledge of financial crime analytics, sanctions screening, and fraud detection.
Exposure to CI/CD pipelines and version control (e.g., Git, Jenkins).
Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
Why Join Us
Work on impactful projects that help combat financial crime.
Collaborate with cross‑functional teams in a dynamic banking environment.
Opportunity to grow within a global financial institution.
About Matrix Matrix is a global, dynamic, fast‑growing technical consultancy leading technology services company with 13,000 employees worldwide. We specialize in implementing and developing leading technologies, software solutions, and products for private and public sectors across Finance, Telecom, Health, Hi‑Tech, Education, and Defense.
Equal Employment Opportunity 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 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.
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