Position Details

Type Not Specified

Experience mid

Exp. Years Not specified

Education Not specified

Category Data & Analytics

About this role

This role involves designing and implementing data pipelines and processing workflows in a financial services environment, leveraging Big Data technologies and cloud platforms.

Key Responsibilities

Build data pipelines
Optimize data workflows
Manage large-scale data processing
Collaborate with data science teams
Ensure data quality

Technical Overview

Focus on data engineering, ETL pipelines, SQL, Python, Big Data, and cloud platform integration for financial data processing.

Ideal Candidate

The ideal candidate is a data engineer with expertise in building data pipelines, ETL processes, and working with Big Data and cloud platforms, with a focus on financial data environments.

Must-Have Skills

Data EngineeringSQLPython

Nice-to-Have Skills

Big DataCloud Platforms

Tools & Platforms

Cloud PlatformsETL tools

Required Skills

Data EngineeringCETSETL pipelinesSQLPython

Hard Skills

Data EngineeringCETSETL pipelinesSQLPythonBig DataCloud Platforms

Soft Skills

Problem-solvingAnalytical thinkingCollaborationCommunication

Industry & Role

Industry Financial Services / Fintech

Job Function Data engineering for financial data processing

Keywords for Your Resume

Data EngineeringCETSETL pipelinesSQLPythonBig DataCloud PlatformsData pipelinesData processingData architecture

Deal Breakers

Lack of experience with data engineering tools, No SQL or Python skills, Unfamiliarity with Big Data or cloud platforms

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Senior Data Engineer - CETS

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