Senior Data Systems Specialist

2 days ago

Rajahmundry, Andhra Pradesh, India beBeeDataSolutions Full time ₹ 80,00,000 - ₹ 1,50,00,000
Data Solutions Architect

We are seeking experienced data engineers to fill the role of Data Solutions Architect in Rajahmundry. The ideal candidate will possess strong technical expertise and a proven track record of building and managing large-scale data systems.

  • 6-8 years of experience in data engineering with expertise in analytic data warehouse technologies, including Snowflake and Databricks SQL.
  • Strong proficiency in ETL tools such as SSIS and knowledge of big data frameworks like Cloudera.
  • Advanced skills in SQL, including writing complex queries, stored procedures, and performance tuning.
  • Proficiency in PySpark for data processing and transformation.
  • Experience with various databases and file formats, including MS SQL Server, MySQL, Snowflake, AWS S3, JSON, CSV, XML, and Excel.

The successful candidate will be responsible for designing, developing, and maintaining large-scale data systems. Key responsibilities include:

  • Building and managing data pipelines using ETL tools and technologies.
  • Designing and implementing data warehouses using Snowflake and Databricks SQL.
  • Developing and deploying data applications using Python and PySpark.
  • Ensuring data quality, integrity, and security.
About This Role

This is an exciting opportunity to join our team as a Data Solutions Architect. In this role, you will have the chance to work on cutting-edge projects that drive business growth and improvement.

Key Responsibilities

As a Data Solutions Architect, your key responsibilities will include:

  • Designing and Developing Data Systems: You will design, develop, and maintain large-scale data systems to support business needs.
  • Building Data Pipelines: You will build and manage data pipelines using ETL tools and technologies.
  • Implementing Data Warehouses: You will design and implement data warehouses using Snowflake and Databricks SQL.
  • Deploying Data Applications: You will develop and deploy data applications using Python and PySpark.
  • Ensuring Data Quality and Security: You will ensure that all data systems are secure, reliable, and meet the required standards.

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