Data Engineer

Location :

Years of Experience:

Employment Type :

Job Summary:

Data Engineer

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL workflows using

  Scala, Python, and PySpark

  .
• Integrate and transform large-scale mutual fund and investment data from multiple sources into a cloud data warehouse (

  AWS /

  Snowflake

  ).
• Collaborate with business stakeholders, data analysts, and product teams to understand data requirements related to

  mutual fund operations

  .
• Build and optimize data systems for performance, reliability, and regulatory compliance.
• Work on cloud infrastructure (preferably

  AWS / Snowflake

  ) to deploy and manage data engineering solutions.
• Ensure data quality, integrity, and consistency across systems.
• Contribute to the modernization of legacy systems and migration to cloud-based platforms.
• Maintain documentation and support data governance practices.
• Participate in Agile ceremonies, provide regular updates, and collaborate across cross-functional teams.
• Mentor junior engineers and share best practices within the team.

Required Skills & Experience:

• 4 - 5 years

  of experience in data engineering roles, preferably in the

  mutual fund or broader asset management industry

  .
• Strong programming skills in

  Sql

  ,

  Scala

  ,

  Python

  , and

  PySpark

  .
• Proven experience with

  cloud platforms

  , especially

  AWS

  (e.g., S3, Glue, Lambda, EC2, Redshift etc..).
• Hands-on experience with

  Snowflake

  including schema design, performance tuning, and data sharing.
• Strong understanding of mutual fund domain concepts such as

  NAV calculations, portfolio data, transactions, compliance, and regulatory reporting

  .
• Experience building and optimizing data pipelines for large-scale data processing.
• Familiarity with orchestration tools like

  Airflow

  ,

  AWS Step Functions

  , or similar.
• Knowledge of data governance, metadata management, and data quality frameworks.
• Experience with CI/CD pipelines and DevOps best practices is a plus.

Preferred Qualifications:

• Bachelor's or master's degree in

  computer science, Information Systems

  , or a related field.
• Knowledge of

  SQL

  , and

  data modelling

  .
• Prior experience integrating

  third-party mutual fund data sources

  (e.g., Morningstar, Bloomberg, CAMS, etc.) is a plus.

Soft Skills:

• Excellent verbal and written communication skills.
• Ability to understand business requirements and translate them into technical solutions.
• Proactive, self-motivated, and able to work independently or in a team environment.
• Strong analytical and problem-solving skills.
• Ability to prioritize tasks in a fast-paced environment.