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S&C Global Network - Decision Science Practitioner Analyst

S&C Global Network - Decision Science Practitioner Analyst

Accenture

4 - 8 years

8 - 12 Lacs

Pune

Posted:1 week ago| Platform:

Apply

Skills Required

python data analysis data validation sql data profiling kubernetes vertica semiconductor mathematics pyspark anomaly detection machine learning docker data quality deep learning git data science postgresql agile consumer jira statistics

Work Mode

Work from Office

Job Type

Full Time

Job Description

Template
Job Title -
Decision Science Practitioner Analyst S&C GN
Management Level :Senior Analyst
Location:Bangalore/ Kolkata
Must have skills:Collibra Data Quality - data profiling, anomaly detection, reconciliation, data validation, Python, SQL

Good to have skills:
PySpark, Kubernetes, Docker, Git
Job

Summary: We are seeking a highly skilled and motivated
Data Science cum Data Engineer Senior Analyst to lead innovative projects and drive impactful solutions in domains such as
Consumer Tech,
Enterprise Tech, and
Semiconductors. This role combines
hands-on technical expertise, and
client delivery management to execute cutting-edge projects in data science & data engineering
Key Responsibilities
Data Science and Engineering

Implement and manage end to end Data Quality frameworks using
Collibra Data Quality (CDQ). This includes requirement gathering from the client,
code development on SQL, Unit testing, Client demos, User acceptance testing, documentation etc. Work extensively with business users, data analysts, and other stakeholders to understand data quality requirements and business use cases.

Developdata validation, profiling, anomaly detection, and reconciliation processes.

WriteSQL queries for simple to complex data quality checks.
Python, and PySpark scripts to support data transformation and data ingestion.

Deploy and manage solutions on
Kubernetes workloads for scalable execution.

Maintain comprehensivetechnical documentation of Data Quality processes and implemented solutions.

Work in an
Agile environment, leveraging
Jira for sprint planning and task management.

Troubleshoot data quality issues and collaborate with engineering teams for resolution.

Provide insights forcontinuous improvement in data governance and quality processes.

Build and manage robust data pipelines using Pyspark and Python to read and write from databases such as Vertica and PostgreSQL.

Optimize and maintain existing pipelines for performance and reliability.

Build custom solutions using Python, including FastAPI applications and plugins for Collibra Data Quality.

Oversee the infrastructure of the Collibra application in Kubernetes environment, perform upgrades when required, and troubleshoot and resolve any Kubernetes issues that may affect the application's operation.

Deploy and manage solutions, optimize resources for deployments in Kubernetes, including writing YAML files and managing configurations

Build and deploy Docker images for various use cases, ensuring efficient and reusable solutions.

Collaboration and Training

Communicate effectively with stakeholders to align technical implementations with business objectives.

Provide training and guidance to stakeholders on Collibra Data Quality usage and help them build and implement data quality rules.

Version Control and Documentation

Use Git for version control to manage code and collaborate effectively.

Document all implementations, including data quality workflows, data pipelines, and deployment processes, ensuring easy reference and knowledge sharing.

Database and Data Model Optimization

Design and optimize data models for efficient storage and retrieval.

Required
Qualifications

Experience:4+ years in data science

Education:B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field

Industry Knowledge:Preferred experience in Consumer Tech, Enterprise Tech, or Semiconductors but not mandatory

Technical Skills

Programming: Proficiency in
Python,
SQL for data analysis and transformation.

Tools :Hands-on experience with Collibra Data Quality (CDQ) or similar
Data Quality tools (e.g., Informatica DQ, Talend, Great Expectations, Ataccama, etc.).

Experience working with
Kubernetes workloads.

Experience with
Agile methodologies and task tracking using
Jira.

Preferred Skills

Strong analytical and problem-solving skills with a results-oriented mindset.

Good communication, stakeholder management & requirement gathering capabilities.

Additional Information: - The ideal candidate will possess a strong educational background in quantitative discipline and experience in working with Hi-Tech clients
- This position is based at our Bengaluru (preferred) and Kolkata office.About Our Company | AccentureQualificationExperience:4+ years in data science

Educational Qualification:B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field

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S&C Global Network - Decision Science Practitioner Analyst