Data Engineer

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Capgemini

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1967

🏢 Enterprise

🤖 Artificial Intelligence

🔒 Cybersecurity

Enterprise • Artificial Intelligence • Cybersecurity

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

📋 Description

• Pipeline Design and Development; Architects and builds scalable data pipelines using modern ETL (Extract, Load, Transform) tools and frameworks such as DBT (Data Build Tool), or similar. • Automates data ingestion processes from various sources including databases, APIs, and third party services. • Data Storage and Management - Designs and implements data warehousing solutions using platforms like Snowflake, Redshift, or BigQuery. • Optimizes storage solutions for performance, cost efficiency, and scalability. • Data Modeling - Develops and maintains logical and physical data models to support business analytics. • Creates and manages dimensional models, star/snowflake schemas, and other data structures. • Data Transformation - Transforms raw data into clean, organized, and analytics-ready datasets using SQL, Python, or other relevant languages. • Implements data transformation workflows to handle data cleansing, normalization, and enrichment. • Data Quality Assurance - Conducts data validation and consistency checks to ensure the accuracy and reliability of data. Implements data quality monitoring and alerting mechanisms. • Cross-Functional Collaboration - Works closely with data analysts, data scientists, and business stakeholders to gather requirements and understand their data needs. • Acts as a liaison between technical teams and business units to translate business requirements into technical specifications. • Governance Policies Implements and enforces data governance policies to ensure data privacy, security, and compliance with relevant regulations. • Defines and manages data access, controls, permissions, and audit trails. • Security Measures - Monitors and enforces data security measures to protect sensitive information from unauthorized access and breaches. • Ensures compliance with industry standards and regulations such as GDPR, CCPA, or HIPAA and others as applicable.

🎯 Requirements

• 4+ years working with Python and SQL • Data Transformation • Data Quality Assurance • Pipeline Design and Development • Technical Communication • Experience working with DBT and SnowFlake • Experience working with Data Governance • Nice to Have • Experience working with Databricks

🏖️ Benefits

• A competitive salary and performance-based bonuses. • Comprehensive benefits package. • Flexible work arrangements (remote and/or office-based). • You will also enjoy a dynamic and inclusive work culture within a globally renowned group. • Private Health Insurance. • Paid Time Off. • Training & Development opportunities in partnership with renowned companies.