Cloud Data Solutions Architect

1 day ago

Dombivli, Maharashtra, India beBeeDataEngineer Full time US$ 1,50,000 - US$ 2,00,000
Job Description

As a cloud data engineer, you will be responsible for designing and developing scalable ETL pipelines using cloud-native tools. You will also architect and implement data lakes and data warehouses on cloud platforms.

  • Key Responsibilities:
  • Design and develop 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.

Performance Optimization:

  • Monitor and optimize the performance of data pipelines and ETL processes.
  • Implement best practices for data management, including data governance, security, and compliance.

Collaboration and Communication:

  • Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
  • Collaborate with cross-functional teams to design and implement data solutions that meet business needs.

Documentation and Maintenance:

  • Document technical solutions, processes, and workflows.
  • Maintain and troubleshoot existing ETL pipelines and data integrations.
RequirementsEducation and Experience:
  • 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.
  • 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.
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.
Benefits
  • Remote working opportunity.
  • Flexibility in work schedule.
  • Training and certification opportunities.
  • State-of-the-art technology and tools.
  • Collaborative team environment.
Equal Opportunity Employer

Lemongrass Consulting is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity, age, or disability status.

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