Category -
City -
Area -
1.2L-2L/Year
Male/Female
On-Site
Full Time
Night Shift
Shrinath Puram, Kota
Key Responsibilities: Data Collection and Processing: Collect and process large sets of structured and unstructured data from various sources. Develop and implement data pipelines for efficient data extraction, transformation, and loading (ETL) processes. Data Analysis: Conduct exploratory data analysis to identify patterns, trends, and insights. Perform statistical analysis to derive meaningful conclusions from data sets. Develop and implement algorithms and models for predictive and prescriptive analytics. Data Visualization: Create clear and compelling data visualizations to communicate findings to both technical and non-technical stakeholders. Use tools such as Tableau, Power BI, or similar to present data in a visually appealing and accessible manner. Database Management: Work with large-scale databases, ensuring data integrity and optimizing database performance. Collaborate with database administrators to design and implement data storage solutions. Collaboration: Collaborate with cross-functional teams to understand business requirements and provide data-driven insights. Work closely with data scientists, engineers, and business analysts to deliver comprehensive solutions. Continuous Learning: Stay abreast of industry trends, emerging technologies, and best practices in big data analytics. Continuously enhance skills and knowledge through training and self-learning. Qualifications: Bachelor's or Master's degree in Computer Science, Information Technology, Statistics, or related field. Proven experience as a Big Data Analyst or similar role. Strong proficiency in programming languages such as HTML,CSS, Python, Java, or Scala. In-depth knowledge of big data technologies and frameworks (e.g., Hadoop, Spark, Kafka). Proficient in SQL and experience working with relational and non-relational databases. Familiarity with machine learning concepts and algorithms. Excellent problem-solving and analytical skills. Strong communication and presentation skills. Training: Comprehensive training will be provided to familiarize the candidate with our products/services and Upwork platform
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