- Position: Solution Architect (ETL)
- Location: Bangalore
- Experience: 8 Yrs
- CTC: As per the Industry standards
- Immediate Joiners
# Job Summary
We are seeking an experienced Solution Architect (ETL) to design and implement data integration solutions using ETL (Extract, Transform, Load) tools. The ideal candidate will have a strong background in data warehousing, ETL, and data architecture.
# Key Responsibilities
1. Design and Implement ETL Solutions: Design and implement ETL solutions using tools such as Informatica PowerCenter, Microsoft SSIS, or Oracle Data Integrator.
2. Data Architecture: Develop and maintain data architectures that meet business requirements and ensure data quality and integrity.
3. Data Warehousing: Design and implement data warehouses that support business intelligence and analytics.
4. Data Integration: Integrate data from various sources, including databases, files, and APIs.
5. Data Quality and Governance: Ensure data quality and governance by implementing data validation, data cleansing, and data standardization processes.
6. Collaboration: Collaborate with cross-functional teams, including business stakeholders, data analysts, and IT teams.
7. Technical Leadership: Provide technical leadership and guidance to junior team members.
# Requirements
1. Education: Bachelor’s degree in Computer Science, Information Technology, or related field.
2. Experience: Minimum 8 years of experience in ETL development, data warehousing, and data architecture.
3. Technical Skills:
– ETL tools such as Informatica PowerCenter, Microsoft SSIS, or Oracle Data Integrator.
– Data warehousing and business intelligence tools such as Oracle, Microsoft, or SAP.
– Programming languages such as Java, Python, or C#.
– Data modeling and data architecture concepts.
4. Soft Skills:
– Excellent communication and interpersonal skills.
– Strong problem-solving and analytical skills.
– Ability to work in a team environment and lead junior team members.
# Nice to Have
1. Certifications: Certifications in ETL tools, data warehousing, or data architecture.
2. Cloud Experience: Experience with cloud-based data integration and data warehousing solutions.
3. Big Data Experience: Experience with big data technologies such as Hadoop, Spark, or NoSQL databases.
# What We Offer
1. Competitive Salary: Competitive salary and benefits package.
2. Opportunities for Growth: Opportunities for professional growth and career advancement.
3. Collaborative Work Environment: Collaborative work environment with a team of experienced professionals.
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