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ScaleUp Technologies - Data & Visualization Engineer - SQL/Python

3 - 8 years

0 Lacs

Posted:15 hours ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Role : Data & Visualisation Engineer Location : Kochi, Onsite Experience : 3-8 years Availability : Immediate Joiners Job Description We are seeking a Data & Visualization Engineer with 3 to 8 years of experience to design, develop, and maintain scalable data pipelines while creating intuitive and interactive visualizations. This role requires a strong foundation in data engineering, ETL processes, and data visualization tools to support seamless data-driven decision-making. Key Responsibilities Data Engineering : Design, develop, and optimize scalable data pipelines for structured and unstructured data. Implement and manage ETL/ELT processes to ensure data quality and consistency. Work with databases, data warehouses, and data lakes (MySQL, NoSQL, Redshift, Snowflake, BigQuery, etc.). Ensure compliance with data security, governance, and best practices. Optimize data workflows using Azure cloud platforms. Data Visualization & Analytics Develop interactive dashboards and reports using BI tools (Tableau, Power BI, Looker, D3.js). Transform complex datasets into clear, visually compelling insights. Collaborate with stakeholders to understand business needs and create impactful visualizations. Integrate visual analytics into web applications using JavaScript frameworks. Ensure accuracy, usability, and optimal performance of visualizations. Stay up to date with best practices in data storytelling and UX. Required Skills & Qualifications Bachelors or Masters degree in Computer Science, Data Engineering, or a related field. Proficiency in Python, SQL, Scala, or Java. Strong knowledge of MySQL and other database technologies. Hands-on experience with cloud data services. Expertise in BI tools (Tableau, Power BI, Looker) and front-end frameworks (React, D3.js). Strong analytical, problem-solving, and communication skills. Experience working with large datasets and optimizing query performance. Familiarity with version control (Git) and CI/CD pipelines. (ref:hirist.tech) Show more Show less

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