Data Architect

15 hours ago

Hyderabad, Telangana, India Cybyrotek Solutions Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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.

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