Experience : 6+ Years

Requirements

Experience with big data framework such as HDFS, Hive, Presto, spark ,parquet.. etc
Hands-on experience conducting qualitative and quantitative analysis on batch and streaming data.
Experience with Machine Learning for analytics , including recommender systems, classification, regression and optimization techniques.
Proficient with the Python data analytic stack, e.g. Numpy,Pandas, Seaborn,Scikit,Scipy.. etc.
Experience with AWS cloud services used often for data engineering including S3, EC2, Glue, Lambda, RDS,EMR ..etc
Experience working with APIs to pull and push data.
Experience building and optimizing big data data pipelines, architectures and data sets.
Experience performing root cause analysis on data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytical skills related to working with structured and unstructured datasets.
Familiarity with Agile and SCRUM methodologies.
Independently accountable and capable of solving problems with minimal guidance.

Preferred Qualifications

Experience working Open-source big data analytics tools.
Experience working with PowerBI to develop dashboards and reports
Experience in prescriptive analytics in solving business problems.
Experience with B2B business processes.

Note: Immediate joiners are preferred.