Solution Architect (ETL)

• 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: Bachelors 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.