Unlock Your Career as a Data Architect

4 hours ago

Shimoga, Karnataka, India beBeeData Full time ₹ 20,00,000 - ₹ 25,00,000

Job Title: Data Strategist

We are seeking an experienced Data Strategist to design, develop, and maintain scalable data architectures and ETL processes.

  • 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:

  • 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 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.
  • 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.

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