ETL Architect
4 weeks ago
Company Profile: We are hiring for a multi-national company providing IT services. It provides software and consultancy services in different industries like Finance, Education, Insurance, Retail, Energy, Life Science, and Healthcare.
Location: Kolkata
Experience Range: 10-15 Years
Desired Competencies -Must-Have (Ideally should not be more than 3-5)
- Excellent problem-solving skills and analytical thinking.
- Attention to detail with a focus on data accuracy and consistency.
- Ability to work collaboratively with cross-functional teams.
- Strong communication skills for interacting with technical and non-technical stakeholders.
- Proactive approach to identifying and addressing data-related issues.
Good-to-Have(Ideally should not be more than 3-5)
- Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.
- Knowledge of big data technologies (e.g., Hadoop, Spark).
- Understanding of data security and compliance best practices.
- Experience in performance tuning and optimizing ETL workflows.
- Familiarity with Agile methodologies and working in a Scrum team.
Responsibility of / Expectations from the Role
- Design, develop, and maintain ETL workflows and scripts to automate data integration processes.
- Extract data from various sources, apply business rules, and load it into data warehouses or other systems.
- Monitor, troubleshoot, and optimize ETL processes to ensure smooth and efficient data flow.
- Collaborate with data architects, analysts, and stakeholders to gather and understand data requirements.
- Ensure data quality, consistency, and security throughout the ETL process, adhering to best practices.
Required Technical Skill Set
- Advanced proficiency in SQL and experience with ETL tools like Informatica, Talend, SSIS, or equivalent.
- Expertise in data warehousing architecture, data modeling, and database management.
- Strong understanding of cloud platforms (AWS, Azure, Google Cloud) and their data services.
- Experience with big data technologies such as Hadoop, Spark, or similar.
- Familiarity with scripting languages (Python, Shell scripting) for advanced automation and customization.
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