Job Title

Senior Data Engineer II

Job Level

Senior Officer

Job Summary

Join our Client Investor Lifecycle Management team as a Data Engineer and make a direct impact on every client and investor relationship across our organization. In this mission-critical role, you'll be at the heart of our KYC (Know Your Customer) and AML (Anti-Money Laundering) operations, transforming complex data into actionable insights that drive critical business decisions.

You'll harness cutting-edge technologies integrating Fenergo APIs, processing data through Databricks and Apache Spark, and crafting compelling Power BI dashboards that tell the story hidden in millions of data points. This is where technical excellence meets business impact: your data pipelines will ensure compliance, your analytics will inform leadership strategy, and your attention to detail will safeguard the integrity of our client onboarding and due diligence processes. As we continue our cloud transformation journey, you'll work across diverse scenarios and emerging technologies, constantly innovating in a fast-paced, dynamic environment where your creativity and problem-solving skills will shine.

Responsibilities

- Lead integration of Fenergo APIs to extract KYC and AML data, ensuring seamless connectivity between systems.
- Design, develop, and maintain scalable data pipelines and ETL processes for data ingestion from databases, APIs, and flat files.
- Implement data processing pipelines using Databricks, Apache Spark, DataFrames, and Medallion Architecture, leveraging AI tools for optimization.
- Conduct regular data quality assessments, audits, and root cause analysis to ensure data integrity and compliance with industry standards.
- Architect and develop interactive Power BI dashboards and reports, translating complex data into actionable insights for clients, leadership, and stakeholders.
- Create visual representations of KPIs and operational metrics for KYC/AML processes for regular reporting to clients and senior management.




- Maintain comprehensive documentation of data processes, API integrations, data flows, governance practices, and reporting solutions for compliance.
- Proactively resolve data-related issues, ensuring timely and accurate reporting.
- Implement data validation, quality control measures, and monitoring processes to ensure reliability throughout all pipelines.

Requirements
- Bachelors degree in Data Science, Computer Science, Statistics, Engineering, or related field.
- 5+ years of experience as a Data Engineer, Data Analyst, or similar role with strong focus on data analysis, engineering, and reporting.
- Proficiency in Databricks and Apache Spark for data processing and pipeline development.
- Strong knowledge of Power BI with ability to create executive-level dashboards.
- Expert-level proficiency in SQL for data querying, manipulation, and complex analytical operations.
- Experience with Python for data analysis and automation.
- Strong understanding of data warehousing, ETL processes, data modeling, Medallion Architecture, and data lakehouse principles.
- Strong experience in API integration for data extraction and system connectivity.
- Experience with cloud platforms (Azure or AWS) and Databricks integration/mounting.
- Knowledge of Git connection to Databricks for version control.
- Understanding of data governance and data quality best practices.
- Good troubleshooting and problem-solving skills.
- An open mind willing and capable to learn in a rapid-paced environment.

Nice to Have
- Databricks administration skills
- Experience in Financial Services industry, particularly with KYC/AML processes or regulatory compliance is highly desirable.
- Familiarity with machine learning concepts and their application in data analysis
- Experience with graph data models

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Data Engineer II (Hyderabad)
🏢 Alter Domus
📍 Hyderabad