Work Experience 0-3 years of relevant experience in a Azure data engineering role. Role Focus As a DataEngineer , you will contribute to cutting-edge global projects and innovative product initiatives, delivering impactful solutions for our Fortune clients. In this role, you will take ownership of the entire data pipeline and infrastructure development lifecyclefrom ideation and design to implementation and ongoing optimization. Your efforts will ensure the delivery of high-performance, scalable, and reliable data solutions. Join us to become a driving force in shaping the future of data infrastructure and innovation, paving the way for transformative advancements in the data ecosystem. Key Responsibilities Data Pipeline Development: Build, maintain, and optimize ETL/ELT pipelines for seamless data flow. Data Integration: Consolidate data from various sources into unified systems. Database Management: Design and optimize scalable data storage solutions. Data Quality Assurance: Ensure data accuracy, consistency, and completeness. Collaboration: Work with analysts, scientists, and stakeholders to meet data needs. Performance Optimization: Enhance pipeline efficiency and database performance. Data Security: Implement and maintain robust data security and governance policies. Innovation: Adopt new tools and design scalable solutions for future growth. Monitoring: Continuously monitor and maintain data systems for reliability. Data Engineers ensure reliable, high-quality data infrastructure for analytics and decision-making. Qualification Bachelors or master’s degree in computer science, Information Technology, or a related field. Certifications with related field will be an added advantage. Key Competencies Must have experience with SQL, Python and Hadoop Good to have experience with Cloud Computing Platforms (AWS, Azure, GCP, etc.), DevOps Practices, Agile Development Methodologies. ETL or other similar technologies will be an advantage. Key Competencies Core Skills : Proficiency in SQL, Python, or Scala for data processing and manipulation. Data Platforms: Experience with cloud platforms such as AWS, Azure Tools: Azure Data Factory and Azure Data Bricks Soft Skills: Strong problem-solving abilities, collaboration, and communication skills to work effectively with technical and non-technical teams. Apply now To apply, please submit your resume and a cover letter as a – statement of purpose. Interested candidates should send detailed profile on hire@inteliment.com
JD Recap: Product Architect Platform Engineering Must-Haves: 8+ years in software/product/cloud architecture Experience in cloud-native , scalable, multi-tenant platforms Hands-on with Python/Django , Angular/JavaScript Deep understanding of microservices, REST APIs , containerization (Docker, Kubernetes) Exposure to DevSecOps , CI/CD pipelines , runtime configuration Strong collaboration with product, DevOps, engineering, and design teams Nice-to-Haves: Experience with multi-tenant SaaS , feature flag systems, ML/data platforms Public cloud certifications, MLOps awareness, event-driven design
Location Baner Pune Office Location Work Experience 3-5 years of relevant experience in a data engineering role. Role Focus As a Data Engineer, you will contribute to cutting-edge global projects and innovative product initiatives, delivering impactful solutions for our Fortune clients. In this role, you will take ownership of the entire data pipeline and infrastructure development lifecycle from ideation and design to implementation and ongoing optimization. Your efforts will ensure the delivery of high-performance, scalable, and reliable data solutions. Join us to become a driving force in shaping the future of data infrastructure and innovation, paving the way for transformative advancements in the data ecosystem. Key Responsibilities Data Pipeline Development: Build, maintain, and optimize ETL/ELT pipelines for seamless data flow. Data Integration: Consolidate data from various sources into unified systems. Database Management: Design and optimize scalable data storage solutions. Data Quality Assurance: Ensure data accuracy, consistency, and completeness. Collaboration: Work with analysts, scientists, and stakeholders to meet data needs. Performance Optimization: Enhance pipeline efficiency and database performance. Data Security: Implement and maintain robust data security and governance policies. Innovation: Adopt new tools and design scalable solutions for future growth. Monitoring: Continuously monitor and maintain data systems for reliability. Data Engineers ensure reliable, high-quality data infrastructure for analytics and decision-making. Qualification Bachelor s or master s degree in Computer Science, Information Technology, or a related field. Certifications in the related field will be an added advantage. Key Competencies Must have experience with SQL, Python and Hadoop. Good to have experience with Cloud Computing Platforms (AWS, Azure, GCP, etc.), DevOps Practices, Agile Development Methodologies. ETL or other similar technologies will be an advantage. Technical Soft Skills Core Skills: Proficiency in SQL, Python, or Scala for data processing and manipulation. Data Platforms: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Tools: Familiarity with tools like Apache Spark, Kafka, and modern data warehouses (e.g., Snowflake, BigQuery, Redshift). Soft Skills: Strong problem-solving abilities, collaboration, and communication skills to work effectively with technical and non-technical teams. Additional: Knowledge of SAP would be an advantage.
Location Baner Pune Office Location Role Focus As a Power BI Developer, you will work closely with business analysts, data engineers, and key stakeholders to transform complex datasets into actionable insights. Your expertise will be pivotal in designing and delivering visually engaging reports, dashboards, and data-driven stories that empower informed decision-making across the organization. By translating raw data into meaningful visuals, you will play a critical role in driving strategic initiatives and fostering a culture of data-driven excellence. Work Experience 3-5 years of experience in Power BI development and data visualization. Key Responsibilities 1. Data Integration Modelling Extract, transform, and load (ETL) data from various sources (SQL, Excel, APIs, etc.). Design and develop efficient data models to support reporting needs. Ensure data integrity and optimize performance through best practices. 2. Report Development Understand the business requirement and build reports to provide analytical insights. Build visually appealing, interactive dashboards and reports in Power BI. Implement DAX (Data Analysis Expressions) for complex calculations and measures. Design user-friendly layouts that align with stakeholder requirements. 3. Collaboration Work with stakeholders to gather business requirements and translate them into technical solutions. Collaborate with data engineers and analysts to ensure cohesive reporting strategies. Provide support and training for end-users to maximize adoption and usage of Power BI solutions. 4. Performance Optimization Optimize dashboards and reports for better speed and responsiveness. Monitor and improve data refresh processes for real-time reporting. 5. Governance and Security Implement row-level security (RLS) and adhere to organizational data governance policies. Manage Power BI workspaces and permissions. 6. Continuous Improvement Stay updated with Power BI features and industry trends. Proactively recommend enhancements to existing solutions. Key Competencies Technical Skills: Proficiency in Power BI, DAX, Power Query, SQL, and data visualization best practices. Additional Tools: Familiarity with Azure Data Factory, Power Automate, and other components of the Power Platform is advantageous. Soft Skills: Strong analytical thinking, problem-solving, and communication skills for interacting with technical and non-technical audiences. Additional Skills: Domain understanding is a plus. Qualifications Bachelor s or master s degree in Computer Sciences, Information Technology, or a related field. Certifications in the related field will be an added advantage.
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