Data Architect
2 weeks ago
Job Title : Data Architect
Location : Mahadevpura - Bangalore
Experience : 10 + Years
Notice Period : Immediate to 30 Days
Job Description :
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.
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.
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.
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.
Required Skills & Qualifications :
Education : Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
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.
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