Experienced Data Architect Wanted

2 days ago

Pune, Maharashtra, India beBeeData Full time ₹ 15,00,000 - ₹ 22,50,000
Job Role: Experienced Data Architect wanted to lead our organization's data strategy. With a strong background in cloud computing, big data processing, and data warehousing, you will design and develop scalable data pipelines using leading technologies like Azure Databricks, PySpark, and Apache Spark.

Key Responsibilities:
  • Develop and optimize ETL processes to ingest, transform, and load data into data warehouses and data lakes.
  • Lead the development of data processing jobs using Azure Databricks, PySpark, and Apache Spark.
  • Architect and manage data infrastructure on major cloud platforms including Azure, AWS, and GCP.
  • Collaborate with data scientists and analysts to build and maintain the data foundation necessary for advanced analytics and machine learning initiatives.
  • Implement and enforce DevOps practices for data pipelines, including CI/CD, monitoring, and automated testing.
  • Contribute to the design of the overall data architecture, including data lakes, lakehouses, and traditional data warehouses.
  • Write clean, well-documented, and efficient code primarily in Python for data manipulation and automation tasks.
  • Troubleshoot and resolve complex data-related issues, ensuring data quality and system performance.

Required Technical Skills:
  • Cloud Platforms: Extensive experience with at least one major cloud provider (Azure, AWS, GCP), including their data-specific services.
  • Big Data Frameworks: Deep knowledge of Apache Spark and hands-on experience with PySpark and Azure Databricks.
  • Data Architecture: Strong understanding of data lakes, data warehouses, and the modern lakehouse architecture.
  • ETL/ELT: Expertise in designing and building efficient and scalable data pipelines.
  • Programming Languages: Proficiency in Python for scripting, data engineering, and automation.
  • DevOps: Familiarity with DevOps principles and tools for deploying and managing data solutions.

Qualifications and Experience:
  • A minimum of 4 years of professional experience in a Data Engineering role.
  • Bachelor's degree in Computer Science, Engineering, or a related quantitative field.
  • Proven ability to work with large-scale datasets and complex data pipelines.
  • Strong analytical, problem-solving, and communication skills.
  • Experience with relational and NoSQL databases is a plus.

Notice Period: Immediate

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