Data Engineer
3 weeks ago
Responsibilities:
- Design, develop, and maintain scalable and efficient data pipelines to support data ingestion, transformation, and integration from various sources (files, corporate databases, APIs).
- Implement and optimize SQL queries and stored procedures for data extraction, transformation, and loading (ETL) processes.
- Develop and maintain data integration workflows using Informatica for seamless data processing and transformation.
- Ensure data quality, integrity, and consistency by implementing best practices in data governance and validation.
- Perform data analysis to identify trends, anomalies, and insights, supporting business intelligence and decision-making processes.
- Work closely with business stakeholders to understand data requirements and provide data-driven solutions.
- Conduct hands-on data migration projects, ensuring smooth transition and integrity of data across different systems.
- Develop and maintain .NET-based applications and scripts for data processing and automation where necessary.
Skillset (Must Have)
- Possess a degree in Computer Science/Information Technology or related field.
- Proficient in Informatica.
- Strong in SQL with Stored Procedures skill.
- Experience in data engineering - i.e. loading data from different sources (files, corporate databases, API), performing data manipulation and transformation, and loading data to target databases, etc.
- Experience in business and data analysis.
- Hands-on experience in data migration.
- Experience in .Net programming.
Business Intelligence
Data Analysis
Big Data
Pipelines
Hadoop
Informatica
ETL
Data Integration
Data Quality
Data Governance
Data Engineering
SQL
Data Migration
Python
Java
Databases
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