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Senior Software Engineer (Data Engineering)

Senior Software Engineer (Data Engineering)

Cynet Systems

Glendale, AZ • On-site

$113.90K - $136.70K/yr

Other

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Job description


Job Description:
Responsibilities:
  • Design, develop, and optimize scalable and efficient data processing pipelines and architectures within Azure Data Lake and Databricks, leveraging best practices for performance and maintainability.
  • Implement and manage complex ETL (Extract, Transform, Load) processes to seamlessly integrate data from diverse sources (e.g., databases, APIs, streaming platforms) into Azure Data Lake, ensuring data quality and consistency.
  • Develop and maintain interactive dashboards and reports using SAP Business Objects and Power BI, translating complex data into actionable business insights. Focus on performance optimization and data accuracy.
  • Leverage Azure Data Factory for data orchestration, workflow automation, and scheduling to ensure reliable and timely data delivery.
  • Implement and maintain Azure Security & Governance policies, including access control, data encryption, and compliance frameworks, to ensure data protection and adherence to industry best practices.
  • Optimize data storage and retrieval mechanisms within Azure, including performance tuning of Databricks clusters and Azure SQL databases, to improve query performance and scalability.
  • Collaborate effectively with cross-functional teams (e.g., business analysts, data scientists, product managers) to understand business requirements, translate them into technical solutions, and communicate technical concepts clearly.
  • Implement data quality checks and validation rules throughout the data pipeline to ensure data accuracy, completeness, and consistency.
  • Monitor, troubleshoot, and enhance existing data solutions, proactively identifying and resolving performance bottlenecks and data quality issues.
  • Create and maintain comprehensive technical documentation, including design specifications, data flow diagrams, and operational procedures, to facilitate knowledge sharing and team collaboration.
Required Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 10 years of hands-on experience in data engineering, data warehousing, and cloud- based data platforms.
  • Deep expertise in Azure Data Lake, Azure Data Factory, Azure Security & Governance, Databricks.
  • Strong techno-functional experience with SAP Business Objects.
  • Strong proficiency in SQL, including complex query writing, query optimization, and performance tuning.
  • Proven experience in developing and maintaining Power BI dashboards and reports.
  • Hands-on experience with Azure services such as Azure Synapse Analytics, Azure SQL Database, and Azure Blob Storage.
  • Solid understanding of data modeling concepts, ETL processes, and big data.
  • Experience in optimizing and managing large-scale datasets in cloud environments.
  • Strong analytical and problem-solving skills with a keen attention to detail.
  • Excellent communication and collaboration skills.
Preferred Qualifications:
  • Master's degree in a relevant field.
  • Understanding of DevOps practices and CI/CD pipelines for data applications.

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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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Frequently asked questions

Q: What skills or qualities help someone succeed as a Data Software Engineer?

A: To succeed as a Data Software Engineer, key technical skills include proficiency in programming languages such as Python, Java, or C++, as well as expertise in data structures, algorithms, and software development methodologies like Agile. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial, as Data Software Engineers often work with cross-functional teams and stakeholders to design, develop, and deploy data-driven solutions. By combining technical expertise with strong soft skills, Data Software Engineers can effectively drive business outcomes, innovate, and adapt to the rapidly evolving landscape of data technology.

Q: What is the career path for a Data Software Engineer?

A: A Data Software Engineer's typical career progression involves starting as a Junior Software Engineer, where they focus on developing and maintaining data-driven software applications, and gradually advancing to roles such as Senior Software Engineer, Technical Lead, or Data Architect, where they oversee large-scale data systems and lead cross-functional teams. Key opportunities for skill development include learning programming languages like Python, SQL, and Java, as well as data science tools like Hadoop, Spark, and machine learning frameworks like TensorFlow and PyTorch. Long-term, Data Software Engineers may pursue leadership roles, such as Director of Engineering or Chief Technology Officer, or transition into related fields like data science, product management, or entrepreneurship.

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