Lead Analyst - Data Engineer
CGI (company site, opens in a new tab)8–10 yrsHyderabadOn-siteDirect career pageEst. 20–35 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop, configure, and maintain NICE Actimize DART investigative components and queries to support AML, Fraud, Compliance, and Investigations teams.
- Architect and deploy high-throughput batch and real-time streaming data pipelines for processing complex financial transactions, ensuring data governance and security compliance.
- Lead legacy-to-cloud migration and optimize performance of SQL queries and distributed computing jobs; mentor mid-level data engineers and collaborate with architects and compliance teams.
Minimum Requirements
- 8 to 10 years of experience in data engineering, software development, or enterprise data architecture in banking (retail, commercial, or investment).
- Expert proficiency in Python, Scala, or Java and advanced ANSI SQL skills.
- Hands-on experience with Apache Spark, PySpark, Hadoop, and real-time streaming platforms like Apache Kafka or AWS Kinesis.
- Deep expertise in cloud data platforms (Snowflake, AWS Redshift, Google BigQuery, Databricks) and cloud infrastructure (AWS, Azure, or GCP).
Ideal Candidate Profile
- Experienced in financial services data engineering with a focus on AML, Fraud, and Compliance data use cases.
- Skilled in building and optimizing scalable data architectures in cloud environments with real-time and batch processing capabilities.
- Capable of leading technical migration projects, performance tuning, and mentoring engineering teams within regulated banking contexts.