Data Engineer II

Who were 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 hours: Work pattern: Full time role. Work mode: Hybrid.

Location: hyderabad, IN

Posted Date: 6/13/2025