Position Details

Type Full-Time

Experience senior

Exp. Years Not specified

Education Not specified

Category Data & Analytics

About this role

Senior data analytics engineer to optimize business strategy using data techniques, building scalable data models and governance, and delivering insights to various stakeholders in FinCrime.

Key Responsibilities

Data Modeling & Pipelines: Build and maintain scalable data models
Stakeholder Collaboration: Translate business requirements into technical solutions
Strategic Analysis: Identify opportunities and quantify improvements
Data Governance & Quality: Ensure high-quality, documented data
Insight Storytelling: Present findings to non-technical audiences

Technical Overview

Tech stack includes Databricks, AWS, Python, dbt, Fivetran, Airflow, Mode, Metaplane, and data warehouse/lakehouse architectures. Strong emphasis on data modeling, pipelines, governance, and self-service analytics.

Ideal Candidate

The ideal candidate is a senior data analytics engineer with strong SQL and Python capabilities, hands-on Databricks or cloud data warehouse experience, and a track record in FinCrime data domains. They should be capable of building scalable data models and driving data-driven decisions across cross-functional teams.

Must-Have Skills

SQLPythonCloud data warehouse/lakehouse environmentProduction-standard Python scriptsGitTestingCode reviews

Nice-to-Have Skills

dbtFivetranAirflowAML Transaction Monitoringregulatory testing regimesDFS rule 504Customer risk rating definition

Tools & Platforms

DatabricksAmazon Web ServicesdbtFivetranAirflowModeMetaplaneS3LambdaGit

Required Skills

SQLSQL / PostgreSQLDatabricksAmazon Web ServicesPythondbtFivetranAirflowModeMetaplaneKubernetesS3LambdaGitData modelingData pipelinesData warehouseData Lakehouse

Hard Skills

SQLSQL / PostgreSQLDatabricksAmazon Web ServicesPythondbtFivetranAirflowModeMetaplaneKubernetesS3LambdaGitData modelingData pipelinesData warehouseData Lakehouse

Soft Skills

Stakeholder collaborationCommunicationProblem solvingIndependentCuriousLearning mindset

Industry & Role

Industry FinTech

Job Function Lead data analytics engineering to build scalable data models and enable data-driven decision making for FinCrime.

Role Subtype Analytics Engineer

Tech Domains Databricks, Amazon Web Services, Python, SQL / PostgreSQL, Kubernetes

Keywords for Your Resume

Senior Data Analytics EngineerFinCrimeDatabricksAmazon Web ServicesPythonSQLSQL / PostgreSQLdbtFivetranAirflowModeMetaplaneKubernetesData modelingData pipelinesData warehouseData LakehouseAML Transaction Monitoringregulatory testingDFS rule 504remote

Deal Breakers

Lack of SQL or Python competency, Limited cloud data warehouse experience

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Senior Data Analytics Engineer - FinCrime

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