DevOps Engineer

August 20

Apply Now

Receive Emails with Similar Jobs

Atlas Technica

WebsiteLinkedInAll Job Openings

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.

201 - 500 employees

Founded 2016

🔒 Cybersecurity

💸 Finance

📋 Description

• As a Data Engineer, you will be responsible for designing, implementing, and maintaining robust data pipelines and cloud-native solutions that support scalable analytics and operational efficiency. • This role requires deep expertise in Python programming, Azure cloud services, and SQL-based data modeling, with a strong emphasis on automation, reliability, and security. • Build and maintain efficient ETL workflows using Python 3, applying object-oriented and functional paradigms. • Write comprehensive unit, integration, and end-to-end tests; troubleshoot complex Python traces. • Automate deployment and integration processes. • Develop Azure Functions, configure and deploy Storage Accounts and SQL Databases. • Design relational schemas, optimize queries, and manage advanced MSSQL features including temporal tables, external tables, and row-level security. • Author and maintain stored procedures, views, and functions. • Collaborating with cross-functional teams

🎯 Requirements

• 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) • Azure SDKs & Services Deploy and configure: Functions, Web Apps & App Service Plans Storage Accounts, Communication Services SQL Database / Managed Instance • Data Security and Reliability Maintain strict secrets, access discipline • Implement data quality checks and validation steps • Database Administration 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) • SQL Objects & Schema Management Author and maintain tables, views, Stored Procedures, Functions, and external tables (polybase) • Strong analytical and problem-solving skills, with meticulous attention to detail • Strong technical documentation skills • Microsoft certifications

🏖️ Benefits

• Competitive salary • Comprehensive benefits • Great perks to our global Team • Professional and career development for our Team Members • Professional yet friendly environment