Data Engineer II

Who we are looking for:

Primary Responsibilities:

• Builds and maintains relevant and reliable data products that support Finance Analytics. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view.
• Participates in new software development and data engineering initiatives supporting Finance Analytics, ensuring timely and accurate delivery of financial data products.
• Drive and implement best Data Engineering practices for pipeline development, data governance, data security and quality across financial datasets.
• Implement security and privacy controls in data workflows, ensuring compliance with finance regulatory requirements.
• Monitor, troubleshoot, and improve performance and reliability of existing finance data pipeline infrastructure.
• Staying up to date with emerging data engineering technologies, trends, and best practices, and evaluating their applicability to meet evolving financial analytics needs.
• Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference.
• Partner and collaborate with data engineers, particularly in finance-centric data models and processing frameworks.
• Ability and flexibility to coordinate and work with teams distributed across time zones, as needed.

Skill:

Applies technical data engineering expertise to develop reliable pipelines and improve data quality in support of finance and analytics initiatives

• Bachelor's or master's degree in computer science or related engineering field and deep experience with Cloud computing
• 3+ years of professional experience in data engineering or related fields
• Proficiency in Python, Java, or Scala for data processing and automation
• Hands-on experience with data orchestration tools (e.g., Apache Airflow, Luigi) and big data ecosystems (e.g., Hadoop, Spark, NoSQL)
• Good working knowledge of Data quality functions like cleansing, standardization, parsing, de-duplication, mapping, hierarchy management, etc.
• Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools
• Effective communication and stakeholder management skills to drive alignment and adoption of data engineering standards
• Demonstrated experience in data management & data governance capabilities
• Familiarity with data warehousing principles and best practices.
• Excellent problem solver - use of data and technology to solve problems or answer complex data related questions
• Excellent collaboration skills to work effectively in cross-functional teams

Work location: Hyderabad, India

Work pattern: Full time role.

Work mode: Hybrid.