Big Data Analyst

Job Description

Who are we looking for?

We are looking for self-motivated hands-on Data Analyst for state street’s AML Transformation program. Candidate will closely work with Technical and business teams in an agile fashion to develop Technical solution for AML Transaction Monitoring and other compliance Program.

What will you be responsible for?

· Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for data sets.

· Work directly with management and users to gather requirements, Perform requirement analysis specific to data modeling, data quality and data analysis.

· Define and implement data acquisition and integration logic, data lineage and data dictionary.

· Assume the ownership from data acquisition to data consumption.

· Working in multi-location agile environment in alignment with business and technology teams.

What do we value?

These skills will help you succeed in this role

· Self-driven, problem solving, communication and decision-making skills

· Strong Hands-on large scale data analysis/Data engineering experience.

· Effective communication skills to interact with various stakeholders and management.

· Ability to learn and adapt to new tools and technologies quickl

Requirements

Education & Preferred Qualifications?

· Bachelor’s degree in computer science or engineering

· Minimum 5 years of hands-on experience with Data Analysis, Data warehousing and Data Modelling.

· Strong experience with SQL, BigData (PySpark) and NoSQL DB queries.

· Experience with Advance Data science Technologies like Hadoop, S3 and NoSQL is big plus.

· Knowledge of Data mining, Data Governance, Data Quality

· Experience with Databricks will be a plus.

· Knowledge of Finance, Custody services, data privacy, AML and related compliance domains is a big plus

Benefits

• Comprehensive Medical Coverage:
  Health insurance of INR 5.0 Lakhs for you and your family (up to 6 members), ensuring complete peace of mind.
  
• Robust Protection Plans:
  Group Personal Accident Insurance and Group Term Life Insurance to safeguard you and your loved ones.
  
• Retirement Benefits:
  PF and Gratuity provided as per standard government regulations.
  
• Flexible Work Options:
  Enjoy hybrid work arrangements & flexible working hours
  
• Generous Leave Policy:
  21 days of annual leave, in addition to 10 company-declared holidays.
  
• Employee Well-being Spaces:
  Access to a dedicated break-out area with round-the-clock refreshments for relaxation and rejuvenation.
  

Requirements
Education & Preferred Qualifications? · Bachelor’s degree in computer science or engineering · Minimum 5 years of hands-on experience with Data Analysis, Data warehousing and Data Modelling. · Strong experience with SQL, BigData (PySpark) and NoSQL DB queries. · Experience with Advance Data science Technologies like Hadoop, S3 and NoSQL is big plus. · Knowledge of Data mining, Data Governance, Data Quality · Experience with Databricks will be a plus. · Knowledge of Finance, Custody services, data privacy, AML and related compliance domains is a big plus