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Lead Data Engineer
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bangalore, India Eucloid Data Solutions Full timeEucloid is looking for a Lead Data Engineer to join our Data Platform team supporting various business applications. The ideal candidate will support development of data infrastructure on Databricks for our clients by participating in activities which may include starting from up- stream and down-stream technology selection to designing and building of...
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Data Engineer
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Data Engineer
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Data Engineer
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bangalore, India Tata Consultancy Services Full timePosition- Data Engineer Location- Pune , Chennai, Bangalore, Gurgaon Experience-5 to 9 Years Notice Period: 0 to 45 Days or Serving Notice period Skills: Spark and Scala(Must have) Hadoop, Hive, Impala, Advanced SQL,OS (Unix), CI/CD Tools (Git, Jenkins, Nexus), Agile (Jira, Confluence), Relational Databases Job Description: Big Data/Hadoop Experience...
Data Engineer
2 weeks ago
Position: Data EngineerExperience: 2+ YearsLocation: RemoteJoining: Immediate Joiners PreferredAbout the Role:We are looking for a skilled Data Engineer with strong Python expertise and hands-on experience in handling large datasets, data cleaning, analysis, and visualization. The ideal candidate should be capable of building data pipelines, performing web scraping, and generating actionable insights through dashboards and reports.Key Responsibilities:Develop, test, and maintain efficient Python scripts for data collection and transformation.Design and implement web scraping solutions to extract structured and unstructured data from diverse sources.Perform data cleaning, preprocessing, and analysis to identify patterns, trends, and insights.Work with SQL and NoSQL databases for efficient data storage, retrieval, and manipulation.Create and maintain interactive dashboards and visualizations to present metrics and business insights to stakeholders.Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.Optimize existing data workflows and pipelines for performance and scalability.Document code, workflows, and methodologies for clarity and maintainability.Required Skills & Qualifications:Bachelor’s degree in Computer Science, Data Science, or a related field, or equivalent practical experience.Minimum 2 years of professional experience as a Data Engineer or in a similar role.Strong proficiency in Python and key data libraries (Pandas, NumPy, Scikit-learn).Hands-on experience with web scraping tools and libraries (Scrapy, BeautifulSoup, Selenium).Solid understanding of databases with strong SQL skills; exposure to databases like PostgreSQL, MongoDB is a plus.Experience with data visualization libraries (Matplotlib, Seaborn, Plotly) and/or BI tools (Power BI, Tableau, Looker).Strong problem-solving ability, analytical mindset, and keen attention to detail.Experience using version control systems (Git).Preferred Qualifications:Exposure to cloud platforms such as AWS, Google Cloud Platform (GCP), or Azure.Familiarity with REST APIs for data collection and integration.Understanding of data warehousing concepts.Prior experience working in an Agile development environment.
