Senior Data Professional E4 SOFTWARE SERVICES PRIVATE LIMITED

  • company name E4 SOFTWARE SERVICES PRIVATE LIMITED
  • working location Office Location
  • job type Full Time

Experience: 6 - 6 years required

Pay: INR 900000 - INR 1600000 /year

Type: Full Time

Location: Bangalore

Skills: Data, Pipelines, Modeling, etl/elt, snowflake-based, architecture., Lakehouse

About E4 SOFTWARE SERVICES PRIVATE LIMITED

Job Description

We are looking for a highly skilled and 6-8 yrs relevant experience, Senior Data Professional (Data Analyst / Data Designer / Data Engineer) to join our Compliance Technology team. This role will be critical in supporting performance diagnostics, root cause analysis, AI-led transformation, and dashboard development across multiple functional areasCompliance Connect, Screening, and AML/Fraudwith a strong focus on Snowflake, Power BI, and modern data and analytics platforms.

Key Responsibilities:

1. Compliance Connect (CCP):

  • Analyze the existing Compliance Connect Portal (Angular + Power BI) architecture and identify UX, data latency, and performance bottlenecks.
  • Conduct in-depth analysis of Snowflake-based data processing and integration architecture supporting CCP dashboards and 2C reports.
  • Provide recommendations to optimize architecture, improve performance, and enhance scalability.
  • Collaborate with tech leads to finalize and implement approved recommendations.
  • Provide hands-on support to development teams in implementing architecture and performance improvements.

2. Screening:

  • Support implementation of AI-based Customer De-duplication solutions by analyzing data overlaps, matching algorithms, and training sets.
  • Design and build dashboards to monitor:
    • False Positive rates and mitigation strategies
    • Alert and Case disposition efficiency
    • Application environment health and vulnerabilities
  • Investigate root causes of false positives and recommend data-driven remediation steps.
  • Analyze inefficiencies in case disposition processes and support design of improved workflows.
  • Work closely with development teams and technical leads to execute improvements.

3. AML, Fraud & ECW:

  • Build and optimize dashboards to track AML/Fraud process KPIs: False Positive trends, investigation throughput, and disposition productivity.
  • Use Snowflake and Power BI to create scalable, business-friendly data views and reports.
  • Conduct root cause investigations of inefficiencies and anomalies in alert management.
  • Identify and prioritize business use cases for ECW (Enterprise Compliance Warehouse), and execute PoCs to demonstrate business value.
  • Drive continuous improvement by aligning with key stakeholders and technology teams.

Required Skills & Qualifications:

  • Bachelor's or Masters degree in Computer Science, Information Systems, Data Science, or related field.
  • 6+ years of experience in data analysis, engineering, or solution design in Compliance, Risk, or Financial Services domains.
  • Strong knowledge of Power BI (DAX, Power Query, data modeling) and advanced SQL, especially with Snowflake.
  • Hands-on experience with data modeling, ETL/ELT pipelines, and performance tuning in large-scale data environments.
  • Solid understanding of analytics for risk and compliance use cases such as false positive reduction, alert triaging, and investigative workflow analysis.
  • Experience working with cloud data platforms, ideally in a Snowflake-based data lakehouse architecture.
  • Strong analytical and problem-solving skills, with an ability to distill technical complexity into business-oriented solutions.

Preferred Qualifications:

  • Familiarity with AML, Fraud, Employee Compliance, and Financial Crime workflows.
  • Experience with AI/ML use cases in compliance (e.g., customer de-duplication, alert scoring).
  • Knowledge of Angular or other UI frameworks is a plus (for front-end collaboration).
  • Experience with vulnerability management and DevSecOps principles is a plus.
  • Agile delivery experience, with exposure to working in cross-functional squads or pods.

Immediate joiners will be given high preference