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Chief Data Systems Engineer

3 weeks ago

Kota, Rajasthan, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,20,00,000

We are seeking a seasoned Data Architect to spearhead the design, build and maintenance of large-scale data systems. This pivotal role requires a deep understanding of data processing, scalability and performance.

Key Responsibilities
  • Develop scalable real-time and batch processing workflows using cutting-edge technologies like Azure Databricks, PySpark and Apache Spark.
  • Craft high-quality input for downstream analytics by performing data pre-processing tasks such as cleaning, transformation, deduplication, normalization, encoding and scaling.
  • Design and maintain cloud-based data architectures, including data lakes, lakehouses and warehouses, adhering to industry best practices.
  • Precisely deploy and optimize data solutions on leading cloud platforms with a focus on performance, security and scalability.
  • Create and refine ETL/ELT pipelines for structured and unstructured data from various sources, ensuring seamless integration.
  • Automate data workflows using CI/CD and DevOps best practices, guaranteeing security and compliance.
  • Monitor, troubleshoot and enhance data pipelines for high availability and reliability.
  • Leverage Docker and Kubernetes for scalable data processing.
  • Collaborate with cross-functional teams to provide clean, structured data for AI/ML models.
Requirements
  • Minimum 4 years of experience in data engineering.
  • In-depth knowledge of cloud-based technologies.
  • Familiarity with big data technologies like Hadoop, Spark and NoSQL databases.
  • Strong understanding of data warehousing, ETL and ELT concepts.
  • Proficiency in programming languages like Python, Java and Scala.

Becoming part of our team means joining a collaborative environment that values innovation and growth. We offer competitive compensation packages and opportunities for professional development.