Cynet systems Inc is hiring: Senior Data Analyst in Santa Clara

Job Description

Pay Range: $70hr - $87.97hr

• The Data Application Developer will design, build, and maintain scalable data-driven applications, pipelines, and APIs to support data processing and analytics.
• This role involves developing efficient ETL/ELT workflows, integrating multiple data sources, and collaborating with cross-functional teams to deliver high-quality, reliable data solutions.

Responsibilities

• Build and maintain data‑centric applications, tools, and APIs for real‑time and batch data processing.
• Design and implement data ingestion pipelines integrating data from multiple sources such as databases, APIs, and file systems.
• Create reusable ETL/ELT pipelines to process and transform raw data into usable formats using Snowflake, DBT, or Python.
• Collaborate with analysts and stakeholders to understand requirements and translate them into scalable technical solutions.
• Maintain comprehensive documentation for data applications, workflows, and processes.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• Proficiency in programming languages such as Python, C#, and ASP.NET (Core).
• Strong understanding of SQL and database design, with experience using relational databases such as Snowflake or SQL Server.
• Hands‑on experience with ETL/ELT tools and frameworks like Apache Airflow (DBT experience is a plus).
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud and related data services (e.g., S3, AWS Lambda).
• Experience with real‑time data processing tools such as Kafka or Spark, as well as batch data processing.
• Skilled in designing and integrating RESTful APIs for data access and communication.
• Knowledge of version control systems like Git for code management.
• Strong analytical and problem‑solving skills for troubleshooting complex data issues.

Preferred Skills

• Knowledge of containerization tools like Docker and orchestration platforms such as Kubernetes.
• Experience with business intelligence tools like Tableau, Power BI, or Looker.

Soft Skills

• Excellent communication and collaboration skills for effective teamwork across departments.
• Ability to prioritize and manage multiple tasks in a fast‑paced environment.
• Strong attention to detail and commitment to delivering high‑quality results.