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- good knowledge in SQL
- Querying and handing of large datasets
- optimized queries
- stored procedures
- nested queries
- to Python (basic libraries such as Numpy/pandas)
- Strong business acumen & demonstrated aptitude for analytics that incite action
- Experience in using Google Cloud Platform
- Understanding of BigQuery architecture, table partitioning, clustering, type of tables etc.
- Exposure to data architecture and schema design
- Experience with Workflow Schedulers/ ETL jobs (Apache Airflow, Cron)
- Experience in using Python for data wrangling and manipulation
- Good knowledge of visualization tools such as Tableau & Power BI is preferred
- Master's or Bachelor's degree in Math, Statistics, Economics, Computer Science or related analytics field from top-tier universities with strong record of achievement
Data Engineer - Bengaluru, India - EXL
Description
Job Responsibilities:
Design, develop, and maintain data pipelines
Develop optimal SQL queries against large datasets to solve business problems
Translate complex business logic into optimum feature engineering pipelines for processing on large amount of data
Interact with the client to understand business needs and apply analytical concepts to generate actionable business insights
Effectively visualize data and create dashboards
Skills:
Must have:
Strong verbal and business communication skills
Effective time management and attention to detail
Good to Have:
Eligibility:
2-6 Years (at least 2 years of SQL experience in analytics environment)