Data Architect

21 hours ago

Aurangabad, Maharashtra, India beBeeData Full time ₹ 15,00,000 - ₹ 20,00,000
Cloud Data Architect

We are seeking a skilled Cloud Data Architect to join our dynamic team, where you will work on cutting-edge technologies like PySpark, AWS Glue, Lambda, Step Functions, and more to power our data-driven decision-making.

The successful candidate will be responsible for designing and managing scalable data lakes using AWS S3 and related services. You will also be working with Amazon DynamoDB and Redshift for high-performance data storage, as well as creating interactive dashboards using Amazon QuickSight.

Key responsibilities include building and maintaining robust ETL pipelines using PySpark and AWS Glue, collaborating with analysts and stakeholders to ensure data quality and availability, writing and optimizing SQL queries for efficient data transformation, and troubleshooting data issues and ensuring timely resolution.

Required skills and qualifications include a Bachelor's degree in Computer Science or related field (Master's preferred), strong hands-on experience with PySpark, Python, and SQL, proficiency in AWS services (Glue, S3, Lambda, Redshift, Athena, DynamoDB, etc.), and excellent problem-solving and communication skills.

Preferred skills include knowledge of data warehousing and data modeling, exposure to big data technologies like Hadoop and Spark, and AWS certifications in data engineering.

Responsibilities:
  • Design and manage scalable data lakes using AWS S3 and related services.
  • Work with Amazon DynamoDB and Redshift for high-performance data storage.
  • Create interactive dashboards using Amazon QuickSight.
  • Build and maintain robust ETL pipelines using PySpark and AWS Glue.
  • Collaborate with analysts and stakeholders to ensure data quality and availability.
  • Write and optimize SQL queries for efficient data transformation.
  • Troubleshoot data issues and ensure timely resolution.
Qualifications:
  • Bachelor's degree in Computer Science or related field (Master's preferred).
  • Strong hands-on experience with PySpark, Python, and SQL.
  • Proficient in AWS services (Glue, S3, Lambda, Redshift, Athena, DynamoDB, etc.).
  • Excellent problem-solving and communication skills.
Preferred Skills:
  • Knowledge of data warehousing and data modeling.
  • Exposure to big data technologies like Hadoop and Spark.
  • AWS certifications in data engineering.

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