▷ Apply in 3 Minutes: Senior Data

Techwave we are always in an exercise to foster a culture of growth and inclusivity We ensure whoever is associated with the brand is being challenged at every step and is provided with all the necessary opportunities to excel in life People are at the core of everything we do Join us Who are we Techwave is a leading global IT and engineering services and solutions company revolutionizing digital transformations We believe in enabling clients to maximize the potential and achieve a greater market with a wide array of technology services including but not limited to Enterprise Resource Planning Application Development Analytics Digital and the Internet of things IoT Founded in 2004 headquartered in Houston TX USA Techwave leverages its expertise in Digital Transformation Enterprise Applications and Engineering Services to enable businesses accelerate their growth Plus we re a team of dreamers and doers who are pushing the boundaries of what s possible And we want YOU to be a part of it Senior Data DevOps Engineer Experience 5 to 8 years Location Hyderabad Employment Type Full-Time Job Summary We are seeking a highly motivated and technically skilled Senior Data DevOps Engineer to join our dynamic data team The ideal candidate will have 5-8 years of experience and a strong foundation in Azure DevOps PowerShell scripting Power BI deployment and data engineering with PySpark You will be responsible for managing CI CD pipelines automating deployments and developing scalable data pipelines using Azure Data Factory ADF Knowledge of Microsoft Fabric and broader Azure Data Services is a plus Key Responsibilities Design implement and manage CI CD pipelines using Azure DevOps for data and BI solutions Automate deployment workflows using PowerShell across multiple environments Manage and optimize Power BI Deployment Pipelines including promotion across dev test prod stages Develop and maintain PySpark notebooks for data processing and transformation Create and monitor scalable data pipelines using Azure Data Factory ADF Collaborate with data analysts engineers and business stakeholders to ensure smooth data delivery Perform troubleshooting optimization and performance tuning for data workflows Ensure adherence to best practices for version control code review and deployment Explore and contribute to the adoption of Microsoft Fabric and other emerging data platform capabilities Good to have Required Skills Experience 5-8 years of professional experience in DevOps and or Data Engineering roles Strong hands-on experience with Azure DevOps Repos Pipelines YAML Artifacts Proficient in PowerShell scripting for task automation and environment configuration Experience managing Power BI Deployment Pipelines and publishing reports datasets Solid hands-on experience with Azure Data Factory ADF - creating scheduling and monitoring pipelines Practical experience with PySpark notebooks for data wrangling and ETL Familiarity with Git and version control best practices Good to Have Exposure to Microsoft Fabric components Lakehouse Data Activator Pipelines etc Knowledge of broader Azure services such as Azure Data Lake Storage ADLS Azure Synapse or Azure SQL Experience with DataOps practices and frameworks Familiarity with Agile methodologies and tools like Jira or Azure Boards Soft Skills Excellent problem-solving and troubleshooting skills Strong communication and collaboration abilities Self-motivated and eager to learn emerging technologies Educational Qualification Bachelor s or Master s degree in Computer Science Information Technology Data Engineering or related field