
Cybersecurity • Finance
Atlas Technica is a strategic partner for the Alternative Investment Industry, providing outsourced IT services focused on technological excellence. The company offers a range of services including designing IT infrastructure for optimal performance, scalability, and cost-efficiency, ensuring alignment with business objectives. Atlas Technica also specializes in cybersecurity solutions to protect against cyber threats and ensure compliance with industry regulations. As a 'Public Cloud First' company, Atlas Technica provides cloud transformation services that enhance agility, flexibility, and resource accessibility. By focusing on multi-layered security protocols, they safeguard sensitive investment data, ensuring confidentiality and integrity for their clients.
August 27

Cybersecurity • Finance
Atlas Technica is a strategic partner for the Alternative Investment Industry, providing outsourced IT services focused on technological excellence. The company offers a range of services including designing IT infrastructure for optimal performance, scalability, and cost-efficiency, ensuring alignment with business objectives. Atlas Technica also specializes in cybersecurity solutions to protect against cyber threats and ensure compliance with industry regulations. As a 'Public Cloud First' company, Atlas Technica provides cloud transformation services that enhance agility, flexibility, and resource accessibility. By focusing on multi-layered security protocols, they safeguard sensitive investment data, ensuring confidentiality and integrity for their clients.
• Atlas Technica's mission: shoulder the burden of IT management, user support, and security compliance for clients • As a Data Engineer, design, implement, and maintain robust data pipelines and cloud-native solutions to support scalable analytics and operational efficiency • Require deep expertise in Python programming, Azure cloud services, and SQL-based data modeling with emphasis on automation, reliability, and security • Responsibilities: build and maintain ETL workflows using Python 3; write unit, integration and end-to-end tests; troubleshoot complex Python traces; automate deployment and integration processes • Responsibilities: develop Azure Functions; configure and deploy Storage Accounts and SQL Databases; design relational schemas; optimize queries; manage advanced MSSQL features; author stored procedures, views, and functions; collaborate with cross-functional teams • Company offers competitive salary, comprehensive benefits, perks, and professional development in a professional yet friendly environment
• English level – B2 or higher • 5+ years of proven experience as a Data engineer • Proficient in Python 3, with both object-oriented and functional paradigms • Design and implement ETL workflows using sensible code patterns • Discover, navigate and understand third-party library source code • Author unit, integration and end-to-end tests for new or existing ETL (pytest, fixtures, mocks, monkey patching) • Ability to troubleshoot esoteric python traces encountered in the terminal, logs, or debugger • Git for version control and branching strategies • Unix-like shells (Nix-based OS) in cloud environments • Author CI/CD configs and scripts (JSON, YAML, Bash, PowerShell) • Develop Azure Functions (HTTP, Blob, Queue triggers) using azure-functions SDK • Implement concurrency and resilience (thread pools, tenacity, rate limiters) • Deploy and configure Azure Functions, Web Apps & App Service Plans, Storage Accounts, Communication Services, SQL Database / Managed Instance • Maintain strict secrets and access discipline • Implement data quality checks and validation steps • Relational data modeling & schema design • Data partitioning strategies & temporal tables (system-versioned) • Query performance tuning (indexes, execution plans) • Selection of optimal data types • Complex T-SQL (windowing, CTEs, advanced joins) • Advanced MSSQL features (External Tables, Row-Level Security) • Author and maintain tables, views, Stored Procedures, Functions, and external tables (polybase) • Strong analytical and problem-solving skills • Strong technical documentation skills
• Competitive salary • Comprehensive benefits • Great perks to our global Team • Professional yet friendly environment • Professional and career development for Team Members
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