Data Science Professional
2 weeks ago
At EXL, we foster a collaborative environment that thrives on ongoing learning and adaptation of our methodologies. Our team is dedicated to tailoring solutions that leverage data to drive better business decisions and enhance digital operations.
Key Responsibilities:
- We analyze large datasets using SQL and Big Data technologies (Hive, Hadoop, Spark) to extract meaningful insights and drive informed decision-making.
- Our team develops Python scripts for data processing, automation, and visualization to support data-driven decision-making.
- We optimize queries and pipelines for efficient data retrieval and processing in distributed environments.
- Cross-functional collaboration is key to supporting data-driven decision-making.
- We create dashboards and reports to communicate key metrics and trends.
Required Skills:
- A strong proficiency in Python for data analysis and scripting is essential.
- Expertise in SQL for querying large-scale databases is crucial.
- Experience with Big Data technologies such as Hive, Hadoop, and Spark is necessary.
- Familiarity with data visualization tools (Tableau, Power BI) is beneficial.
- Strong analytical and problem-solving skills are vital.
Preferred Qualifications:
- A Bachelor's or Master's degree in Data Science, Computer Science, or a related field is preferred.
- Experience in a Big Data environment handling structured and unstructured data is valuable.
- Knowledge of cloud platforms (AWS, GCP, Azure) is a plus.
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