ETL Developer – SQL, Python/PySpark

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 within 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.

Matrix is a global, dynamic, fast-growing technical consultancy leading technology services company with 13000 employees worldwide. Since its foundation in 2001, Matrix has made more travelers and acquisitions and has executed some of the largest, most significant. The company specializes in implementing and developing leading technologies, software solutions, and products. It provides its customers with infrastructure and consulting services, IT outsourcing, offshore, training and assimilation, and Ves as representatives for the world's leading software vendors. With vast experience in private and public sectors, ranging from Finance, Telecom, Health, Hi-Tech, Education, Defense, and Secu city, Matrix's customer base includes guest organizations in Israel and a steadily growing client base worldwide. We are comprised of talented, creative, and dedicated individuals passionate about delivering innovative solutions to the market. We source and foster the best talent and recognize that all employee's contributions are integral to our company's future. Matrix- success is based on a challenging work environment, competitive compensation and benefits, and rewarding career opportunities. We encourage a diverse work environment of sharing, learning, and ceding together. Come and join the winning team You'll be challenged and have fun in a highly respected organization.

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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 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.

Requirements:

Scala, Spark, Python,