Experience with cloud databases and data warehouses (AWS Aurora, RDS/PG, Redshift, DynamoDB, Neptune). Building and maintaining scalable real-time database systems using the AWS stack (Aurora, RDS/PG, Lambda) to enhance business decision-making capabilities. Provide valuable insights and contribute to the design, development, and architecture of data solutions. Experience utilizing various design and coding techniques to improve query performance. Expertise in performance optimization, capacity management, and workload management. Working knowledge of relational database internals (locking, consistency, serialization, recovery paths). Awareness of customer workloads and use cases, including performance, availability, and scalability. Monitor database health and promptly identify and resolve issues. Maintain comprehensive documentation for databases, business continuity plan, cost usage and processes. Proficient in using Terraform or Ansible for database provisioning and infrastructure management. Additional 'nice-to-have' expertise in Python, Databricks, Apache Airflow, Google Cloud Platform (GCP), and Microsoft Azure.

Company Description At Will Sparrow Technologies, we specialize in delivering high-performance solutions across software, electronics design, and e-manufacturing to empower businesses through intelligent systems, automation, and data-driven innovation. Our expertise ranges from developing scalable software applications to integrating AI and ML into electronics design. Partner with us to turn bold ideas into engineered realities. Role Description We are looking for a highly skilled and proactive Data Analytics Engineer with 4+ years of hands-on experience in building scalable data solutions. This role is critical to enabling data-driven decision-making across the organization by developing and managing robust data pipelines, models, and workflows. Must-Have Skills: Minimum of 4 years of professional experience in a Data Engineering or Analytics Engineering role Hands-on expertise with Fivetran for data integration Experience with Apache Airflow for orchestrating data workflows Strong proficiency in SQL and query optimization Practical experience using Apache Spark for data transformation Solid working knowledge of AWS Cloud Services (e.g., S3, EC2, Glue, Redshift) Qualifications Design, implement, and manage data pipelines using Fivetran and Apache Airflow Develop and maintain high-performance SQL queries and data models for analytics and reporting Leverage Apache Spark for processing large-scale data efficiently Build and maintain data workflows in a secure, scalable AWS Cloud environment Work closely with data analysts, scientists, and business teams to gather requirements and deliver reliable data solutions Monitor, troubleshoot, and optimize data pipelines and system performance Ensure high standards of data quality, governance, and security

Company Description At Will Sparrow Technologies, we specialize in delivering high-performance solutions across software, electronics design, and e-manufacturing to empower businesses through intelligent systems, automation, and data-driven innovation. Our expertise ranges from developing scalable software applications to integrating AI and ML into electronics design. Partner with us to turn bold ideas into engineered realities. Role Description We are looking for a highly skilled and proactive Data Analytics Engineer with 4+ years of hands-on experience in building scalable data solutions. This role is critical to enabling data-driven decision-making across the organization by developing and managing robust data pipelines, models, and workflows. Must-Have Skills: Minimum of 4 years of professional experience in a Data Engineering or Analytics Engineering role Hands-on expertise with Fivetran for data integration Experience with Apache Airflow for orchestrating data workflows Strong proficiency in SQL and query optimization Practical experience using Apache Spark for data transformation Solid working knowledge of AWS Cloud Services (e.g., S3, EC2, Glue, Redshift) Qualifications Design, implement, and manage data pipelines using Fivetran and Apache Airflow Develop and maintain high-performance SQL queries and data models for analytics and reporting Leverage Apache Spark for processing large-scale data efficiently Build and maintain data workflows in a secure, scalable AWS Cloud environment Work closely with data analysts, scientists, and business teams to gather requirements and deliver reliable data solutions Monitor, troubleshoot, and optimize data pipelines and system performance Ensure high standards of data quality, governance, and security

Experience with cloud databases and data warehouses (AWS Aurora, RDS/PG, Redshift, DynamoDB, Neptune). Building and maintaining scalable real-time database systems using the AWS stack (Aurora, RDS/PG, Lambda) to enhance business decision-making capabilities. Provide valuable insights and contribute to the design, development, and architecture of data solutions. Experience utilizing various design and coding techniques to improve query performance. Expertise in performance optimization, capacity management, and workload management. Working knowledge of relational database internals (locking, consistency, serialization, recovery paths). Awareness of customer workloads and use cases, including performance, availability, and scalability. Monitor database health and promptly identify and resolve issues. Maintain comprehensive documentation for databases, business continuity plan, cost usage and processes. Proficient in using Terraform or Ansible for database provisioning and infrastructure management. Additional 'nice-to-have' expertise in Python, Databricks, Apache Airflow, Google Cloud Platform (GCP), and Microsoft Azure.

Location: [On-site / Remote / Hybrid – specify] 🕒 Experience Required: 3+ Years 📢 Notice Period: Immediate Joiners Preferred We are seeking a talented and experienced QA Automation Engineer with over 3 years of hands-on experience in software quality assurance. The ideal candidate will be responsible for designing and implementing robust automated testing frameworks that streamline the testing process and enhance overall product quality. The role involves maintaining a strong regression testing setup to ensure updates do not compromise existing functionalities. You will also develop and execute performance testing strategies to evaluate the system’s scalability, responsiveness, and stability under varying conditions. A key part of this role includes conducting security testing to safeguard data and system integrity. In addition to automation, the candidate will perform manual testing when necessary, conduct thorough root cause analysis for defects, and work collaboratively with development teams to resolve issues efficiently. The engineer will actively participate in cross-functional team discussions to understand product requirements and acceptance criteria, while also integrating automated tests into CI/CD pipelines. Clear documentation of automation strategies, processes, and outcomes is essential. Staying up to date with the latest QA tools, trends, and best practices is highly encouraged. The successful candidate will possess a deep understanding of QA methodologies, tools, and lifecycle processes. Proficiency in scripting languages like Java or JavaScript, as well as experience with testing tools such as Selenium, Cypress, or Playwright, is required. Strong analytical skills, experience with SQL queries, and familiarity with Agile/Scrum methodologies will be valuable assets. Excellent communication skills, both written and verbal, are essential for collaboration and reporting.