
Data Analyst/Scientist: Unlocking Business Insights
23 hours ago
Unlock the Power of Data Science:
Data science and big data engineering are at the forefront of innovative solutions, driving business growth through actionable insights. We seek a skilled professional with expertise in data wrangling, large-scale data processing, and advanced analytics.
Key Responsibilities:
- Design, develop, and maintain robust ETL pipelines for structured and unstructured data.
- Perform data cleansing, transformation, and quality assurance to ensure high-quality datasets.
- Work with big data technologies such as Apache Spark and Hadoop for large-scale data processing and analytics.
- Collaborate with cross-functional teams to translate business problems into data-driven solutions.
- Build and optimize data models to drive performance and scalability.
- Develop interactive dashboards and reports using data visualization tools to communicate complex insights effectively.
- Apply domain knowledge to drive strategic recommendations and business outcomes.
- Maintain data governance, security, and quality standards to ensure compliance.
Requirements:
- 4-6 years of experience in data science and big data engineering with proven track records.
- Strong programming skills in SQL, Python, and R.
- Expertise in data wrangling, ETL tools, and pipeline development with scalable architecture.
- Hands-on experience with Apache Spark, Hadoop, or related big data frameworks.
- Familiarity with data visualization tools (Power BI, Tableau, or similar).
- Strong understanding of data modeling, data governance, and performance optimization principles.
- Domain knowledge in one or more industries (Finance, Retail, Healthcare, etc.).
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