Chief Cloud Data Architect

4 days ago

bhavnagar, India beBeeDataEngineer Full time

Cloud Data Engineer Role Overview This role is responsible for designing, implementing, and maintaining robust data pipelines and building scalable data lakes. 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.Design and Development:Design, develop, and maintain scalable ETL pipelines using cloud-native tools (AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, etc.).Architect and implement data lakes and data warehouses on cloud platforms (AWS, Azure, GCP).Develop and optimize data ingestion, transformation, and loading processes using Databricks, Snowflake, Redshift, BigQuery and Azure Synapse.Implement ETL processes using tools like Informatica, SAP Data Intelligence, and others.Develop and optimize data processing jobs using Spark Scala.Integrate various data sources, including relational databases, APIs, unstructured data, and ERP systems into the data lake.Ensure data quality and integrity through rigorous testing and validation.Monitor and optimize the performance of data pipelines and ETL processes.Implement best practices for data management, including data governance, security, and compliance.RequirementsThe ideal candidate will have:Bachelor's degree in Computer Science, Information Technology, or a related field.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. Preferred QualificationsExperience with other data tools and technologies such as Apache Spark, or Hadoop.Certifications in cloud platforms (AWS Certified Data Analytics – Specialty, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate).Experience with CI/CD pipelines and DevOps practices for data engineering. BenefitsLemongrass offers a range of benefits to its employees, including:Remote working options.Flexibility to work from home most of the time.Training and development opportunities.A subscription to A Cloud Guru and a generous budget for taking certifications and other resources.State-of-the-art technology and tools.Collaborative and supportive team environment. Equal Opportunities Employer

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