Chief Data Strategist

4 days ago

Nashik, Maharashtra, India beBeeData Full time ₹ 20,00,000 - ₹ 25,00,000

Job Title: Data Architect

About the Role:

  • 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.

Responsibilities:

  • 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.

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.

Candidates must possess:

  • A bachelor’s degree in computer science or a related field.
  • More than 10 years of experience as a data engineer.
  • Proficiency in SQL, Python and additional relevant programming languages.

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