Job DescriptionLocation: ARK Tech Park, HSR Layout, Bangalore (Hybrid – 3 Days WFO) NCompany: ProAnalyst – Data & AI Services NExperience: 6 - 8 Years NRange: Upto 12LPA NType: Full-time NReporting To: Founder & Lead Consultant NAbout ProAnalystnProAnalyst is a data analytics & BI consulting firm. We deliver dashboards, data pipelines, and analytics teams for clients across the US, Australia, and India, with a growing AI service line. We're expanding our Data Engineering capabilities, and this role offers the opportunity to work on high-impact data and analytics projects for global clients. NRole OverviewnWe are looking for an experienced Data Engineer with 6–8 years of hands-on experience in designing, developing, and maintaining scalable data pipelines and data processing solutions. NThe ideal candidate should have strong expertise in SQL and Python, practical experience working with cloud-based data platforms, and a solid understanding of data engineering, ETL/ELT, data transformation, data quality, and pipeline optimization. NExperience with Google Cloud Platform (GCP) is strongly preferred, particularly candidates who have worked with cloud-based data warehousing and data processing environments. NThe candidate should be technically robust, detail-oriented, capable of independently troubleshooting data issues, and confident in communicating with technical and business stakeholders. NKey Responsibilitiesn N Design, develop, and maintain scalable data pipelines and ETL/ELT workflows. N Write, optimize, and troubleshoot complex SQL queries across large datasets. N Develop Python-based solutions for data processing, automation, and transformation. N Work with cloud-based data platforms and data warehouses. N Build and maintain reliable data ingestion and transformation workflows. N Perform data validation, quality checks, reconciliation, and troubleshooting. N Identify and resolve pipeline,



data quality, and performance issues. N Optimize data processing workflows for scalability and efficiency. N Collaborate with data analysts, BI developers, engineers, and business stakeholders. N Translate business and technical requirements into reliable data engineering solutions. N Document data pipelines, processes, and technical solutions. NnIdeal Candidate Nn 6–8 years of experience in Data Engineering or related roles. N Strong hands-on expertise in SQL and Python. N Strong understanding ofETL/ELT, data pipelines, data transformation, and data integration. N Hands-on experience with cloud data platforms; GCP is preferred.n Experience working with large datasets and cloud data warehouses. N Strong understanding ofdata quality, validation, and performance optimization. N Strong problem-solving and analytical skills. N Good communication and stakeholder-management skills. N Ability to work independently and take ownership of technical deliverables. N Databricks and Airflow experience is a plus. NnKnowledge Requirement NData Engineering & ETL/ELT – 40% NSQL & Python – 30%nCloud & Data Platforms – 20% NProblem Solving & Communication – 10% NInterview Processn N Round 1: AI Video InterviewCommunication, technical knowledge, leadership mindset, and problem-solving. N Round 2: Technical Interview – BI, SQL & Data EngineeringSQL, Power BI, data modeling, data engineering, visualization, and technical problem-solving. N Round 3: Founder's Round Leadership, ownership, client handling, team management, problem-solving approach, and overall suitability NnWhy Join Us?n N Work on real-world Data, AI, and Analytics projects. N Exposure to modern cloud and data engineering technologies. N Opportunity to work with global clients and diverse data problems. N High ownership and direct exposure to experienced technical leadership. N Opportunity to grow within a fast-growing Data & AI consulting firm. N

📌 Senior Data Engineer (Vasanthanagar)
🏢 ProAnalyst
📍 Vasanthanagar