Data Architecture Professional

1 week ago

Salem, Tamil Nadu, India beBeeDataArchitecture Full time US$ 1,25,000 - US$ 1,75,000
Job Title: Data Architect

We are seeking a highly skilled Data Architect to join our team. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining scalable data pipelines and ETL processes to support downstream analytics and AI applications.

  • Key Responsibilities:

    - Design, develop, and maintain scalable data pipelines and ETL processes to support downstream analytics and AI applications.

    - Collaborate with ML Engineers to integrate data solutions into machine learning models and workflows.

    - Work closely with clients to understand their data requirements and deliver tailored data solutions.

    - Ensure data quality, integrity, and security across all projects.

    - Optimize and manage data storage solutions in cloud environments (AWS, Azure, GCP).

    - Utilize Databricks for data processing and analytics tasks, leveraging its capabilities to enhance data workflows.

    - Monitor the performance of data pipelines, identify bottlenecks or failures, and implement improvements to enhance efficiency and reliability.

    - Implement best practices for data engineering, including documentation, testing, and version control.

    - Troubleshoot and resolve data-related issues in a timely manner.

Required Skills and Qualifications:

  • Qualifications:

    - Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

    - 10+ years of experience as a Data Engineer or in a similar role.

    - Strong proficiency in SQL, Python, and other relevant programming languages.

    - Hands-on experience with Databricks and its ecosystem.

    - Familiarity with major cloud environments (AWS, Azure, GCP) and their data services.

    - Experience with data warehousing solutions like Snowflake, Redshift, or BigQuery.

    - Comfortable working with a variety of SQL, NoSQL and graph databases like PostgreSQL and MongoDB;

    - Knowledge of data integration tools.

    - Understanding of data modeling, data architecture, and database design.

    - Excellent problem-solving skills and attention to detail.

    - Strong communication and collaboration skills.

  • Highly Desirable Skills:

    - Experience with real-time data processing frameworks (e.g., Apache Kafka, Spark Streaming).

    - Knowledge of data visualization tools (e.g., Tableau, Power BI).

    - Familiarity with machine learning concepts and frameworks.

    - Experience working in a client-facing role.

Benefits:

  • Career Growth Opportunities:

    We offer opportunities for career advancement and professional development.

  • Challenging Projects:

    You will work on innovative, cutting-edge projects that make a global impact.

  • Global Exposure:

    Collaborate with international teams and clients to broaden your professional network.

  • Flexible Work Arrangements:

    We support work-life balance through flexible working conditions.

  • Comprehensive Benefits:

    We offer competitive compensation packages and comprehensive benefits, including health insurance, and paid time off.

Company Culture:

  • Collaborative Environment:

    We emphasize teamwork, innovation, and knowledge sharing.

  • Inclusive Workplace:

    We value diversity and foster an inclusive environment where all ideas are respected.

  • Continuous Learning:

    We encourage professional development through ongoing learning opportunities and certifications.

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