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Manager | Data Engineer | Gurgaon | Regulatory & Financial Risk

Min Experience

5 years

Location

Delhi, Gurgaon

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

In our Financial Risk Advisory team you'll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations. Data Engineer (PySpark): • 5+ years of experience in Data Analytics role with at least 2 years of development experience in PySpark • Very strong in SQL • Expertise in programming with Python with experience in Data Cleaning, Feature Engineering, Transformation and building statistical/ML models. • Experience working on Unix based platforms with basic knowledge of shell scripting, writing Cron jobs etc. • Knowledge of big data ecosystem with knowledge of Hadoop, Hive & GitHub version management • Knowledge of Cloud Computing (GCP), Data Modelling, exposure to Data Quality assessment and control. • Exposure to working on data pertaining to banking and financial services domain • Highly adaptable in quickly changing technical environments with strong organizational and analytical skills

About the company

Deloitte's Financial Risk practice provides financial risk management solutions to banks, financial institutions and corporate clients. The credit risk analytics area focuses on providing quantitative services to clients in areas of model development and model validation.

Skills

sql
python
hadoop
hive
git
gcp
data-modeling
data-quality