Cloud Data Specialist

2 weeks ago

Kanpur, Uttar Pradesh, India beBeeCloudDataEngineer Full time ₹ 1,80,00,000 - ₹ 2,00,00,000

About the Role

We are seeking a highly skilled Cloud Data Engineer with expertise in designing, implementing and maintaining robust data pipelines. The ideal candidate will have extensive experience with cloud-native ETL tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, etc.

The successful candidate will be responsible for developing scalable ETL pipelines, architecting and implementing data lakes and data warehouses on cloud platforms (AWS, Azure, GCP), and ensuring data quality and integrity through rigorous testing and validation.

Additionally, the Cloud Data Engineer will be expected to collaborate closely with cross-functional teams to design and implement data solutions that meet business needs, monitor and optimize the performance of data pipelines and ETL processes, and ensure compliance with industry best practices for data management.

In order to succeed in this role, you will need to have strong programming skills in Python, Java or Scala, proficiency in SQL and query optimization techniques, and knowledge of data governance, security, and compliance best practices.

Preferred qualifications include experience with other data tools and technologies such as Apache Spark, certifications in cloud platforms (AWS Certified Data Analytics - Specialty, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate), and experience with CI/CD pipelines and DevOps practices for data engineering.

Beyond technical expertise, we are looking for a team player with excellent communication and collaboration skills, who is able to work remotely and has a flexible approach to working hours.

This is an exciting opportunity to join a dynamic team and contribute to the development of innovative data solutions.

Key Responsibilities:
  • Design, develop and maintain scalable ETL pipelines using cloud-native tools.
  • Architect and implement data lakes and data warehouses on cloud platforms.
  • Collaborate closely with cross-functional teams to design and implement data solutions.
  • Monitor and optimize the performance of data pipelines and ETL processes.
  • Ensure compliance with industry best practices for data management.
Requirements:
  • 7+ years of experience as a Data Engineer or in a similar role.
  • Proven experience with cloud platforms: AWS, Azure, and GCP.
  • Hands-on experience with cloud-native ETL tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, etc.
  • Experience with other ETL tools like Informatica, SAP Data Intelligence, etc.
  • Experience in building and managing data lakes and data warehouses.
  • Proficiency with data platforms like Redshift, Snowflake, BigQuery, Databricks, and Azure Synapse.
  • Experience with data extraction from SAP or ERP systems is a plus.
  • Strong experience with Spark and Scala for data processing.
Benefits:
  • Remote working with flexibility to work from anywhere.
  • Training opportunities including subscription to A Cloud Guru and generous budget for certifications and resources.
  • State-of-the-art technology with latest industry standard tools.
  • Collaborative and dynamic team environment.

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