🚀 ⭐ 📢 We are

#Hiring:

#Data Architect

Job Title: Data Architect

Location: Mahadevpura – Bangalore

Experience: 10 + Years

Notice Period: Immediate to 30 Days

Job Description:

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#Data Integration:

⭐ Design and implement data integration workflows to connect disparate systems (e.g., APIs, ETL/ELT tools, and data lakes).

⭐ Work with stakeholders to understand data requirements and ensure integration aligns with business objectives.

⭐ Maintain and enhance existing integration pipelines for efficiency and reliability.

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#Data Engineering:

⭐ Develop, test, and deploy scalable and efficient data pipelines using industry-standard tools and programming languages. Optimize data storage, retrieval, and processing workflows to meet performance requirements.

⭐ Monitor and troubleshoot data pipelines to ensure consistent data delivery.

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#Technology & Tools Implementation:

⭐ Evaluate and integrate data management tools (ETL platforms, cloud services, and database systems).

⭐ Ensure compliance with data governance policies, privacy regulations, and security protocols.

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#Documentation & Reporting:

⭐ Create and maintain comprehensive documentation for data integration and engineering processes.

⭐ Provide regular status updates and reports to stakeholders on data system performance and issues.

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#Required Skills & Qualifications:

Education: Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.

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#Technical Skills:

⭐ Proficiency in ETL/ELT tools (e.g., Talend, Informatica, Apache NiFi).

Strong programming skills in Python, SQL, Scala, or Java. ‘

⭐ Experience with cloud platforms (AWS, Azure, GCP) and services (e.g., S3, Redshift, BigQuery). Knowledge of databases (SQL and NoSQL) and data warehouse systems.

⭐ Familiarity with tools like Apache Kafka, Apache Airflow, or similar orchestration platforms. Soft Skills: Strong problem-solving and analytical skills.

⭐ Excellent communication and collaboration abilities. Attention to detail with a commitment to quality and accuracy. Preferred Qualifications:

⭐ Experience in big data technologies (Hadoop, Spark). Knowledge of data governance and compliance standards (e.g., GDPR, CCPA). Certification in cloud technologies or data engineering tools.