Cloud Data Specialist

1 day ago

belgaum, India beBeeDataEngineer Full time

Job Title: Cloud Data EngineerWe are seeking a skilled Cloud Data Engineer to join our team. The ideal candidate will have extensive experience with cloud-native ETL tools, data platforms, and data lakes.Key Responsibilities:Design, develop, and maintain scalable ETL pipelines using cloud-native tools.Architect and implement data lakes and data warehouses on cloud platforms.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.Qualifications: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.Skills:Strong programming skills in Python, Java, or Scala.Proficient in SQL and query optimization techniques.Familiarity with data modeling, ETL/ELT processes, and data warehousing concepts.Knowledge of data governance, security, and compliance best practices.Excellent problem-solving and analytical skills.Strong communication and collaboration skills.Benefits:Remote working option with flexible working hours.Opportunity to work with the latest industry-standard tools.Training and certification opportunities.Collaborative and supportive team environment.Preferred Qualifications:Experience 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.Lemongrass Consulting offers equal opportunities to all applicants and values diversity in its workforce.Best Practices For Data Engineers• 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.

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