TECHNICAL LEAD - Salesforce
Skills
About This Role
Overview
We are seeking a skilled and detail-oriented Data Engineer to support a large-scale CRM migration project.
The role involves designing migration strategy and executing processes to migrate customer, transactional, and engagement data from banking systems to the Sales Force CRM platform on cloud.
The ideal candidate should have strong experience in data pipeline development, data quality management, and working closely with cross-functional teams, including CRM consultants, architects, and business stakeholders.
A solid understanding of data governance, data quality, security best practices, and data privacy regulations is essential for this role.
Key Responsibilities
- Design and implement scalable data migration solutions across platforms.
- Collaborate with solution architects and business analysts to define data requirements and mapping logic.
- Analyze existing data models and create migration strategies, including data cleansing, transformation, deduplication, and enrichment.
- Develop scripts and tools for data extraction and loading using various relevant technologies.
- Conduct data quality assessments and implement validation and reconciliation checks to ensure migration accuracy and completeness.
- Support testing activities such as data validation, user acceptance testing, and post-migration audits.
- Maintain documentation of data flows, transformation logic, and data dictionaries.
- Work closely with CRM vendors, system integrators, and internal IT teams to resolve migration-related issues.
- Strong understanding of data governance, quality, and security best practices & Knowledge of data privacy regulations
Required Skills & Qualifications
- Proficiency in Data Extraction & Transformation: AWS Glue, Informatica Cloud or Talend. Apache NiFi or StreamSets
- Experienced in Data Loading Salesforce Data Loader, Bulk API
- Experienced with cloud infrastructure & storage: Amazon S3, Amazon RDS / Aurora, Amazon EC2 / Lambda
- Knowledge of security & governance: AWS IAM, AWS KMS & Data Masking Tools e.g., SSIS, PySpark scripts.
- Proficiency on data Monitoring & Validation: CloudWatch, Salesforce Shield & Power BI / Tableau
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