Data Solutions Architect

2 days ago

Tirupati, Andhra Pradesh, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Cloud Data Engineer Job Summary

Lemongrass is seeking an experienced Cloud Data Engineer to design, develop, and maintain scalable data pipelines and build robust data lakes.

  • Key Responsibilities:
    • Design and Development:
      • Design, develop, and maintain ETL pipelines using cloud-native tools (AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow).
      • Architect and implement data lakes and 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 Informatica, SAP Data Intelligence, and other tools.
      • Develop and optimize data processing jobs using Spark Scala.
    • Data Integration and Management:
      • 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.
      • Perform data extraction from SAP or ERP systems when necessary.
    • Performance Optimization:
      • Monitor and optimize the performance of data pipelines and ETL processes.
      • Implement best practices for data management, including governance, security, and compliance.
    • Collaboration and Communication:
      • Work closely with data scientists, analysts, and 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.

Qualifications

  • Education:
    • Bachelor's degree in Computer Science, Information Technology, or a related field. Advanced degrees are a plus.
    • Experience:
      • 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.
      • Experience with other ETL tools like Informatica, SAP Data Intelligence, etc.
      • Experience in building and managing data lakes and 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.

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
  • Selected applicant will be subject to a background investigation, which will be conducted and the results of which will be used in compliance with applicable law.

What we offer:

  • Remote working arrangement.
  • Flexibility to work where and when you like most of the time.
  • Training opportunities, including a subscription to A Cloud Guru and budget for certifications and resources.
  • State-of-the-art technology and tools.
  • A team-oriented environment where colleagues challenge each other and learn together.

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