
Cloud Data Engineering Specialist
2 days ago
We are seeking a highly skilled Data Engineer to join our team and contribute to the design, implementation, and maintenance of robust data pipelines and scalable data lakes using cloud-native tools and technologies.
The ideal candidate will have hands-on experience with cloud platforms (AWS, Azure, GCP) and cloud-native ETL tools like AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow. Experience with other ETL tools like Informatica, SAP Data Intelligence, etc., is also desirable.
Key Responsibilities:
- Design and develop scalable ETL pipelines using various ETL 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, etc.
- Develop and optimize data processing jobs using Spark Scala.
Requirements:
- 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.
- 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.
Preferred Qualifications:
- Experience with CI/CD pipelines and DevOps practices for data engineering.
- Certifications in cloud platforms (AWS Certified Data Analytics – Specialty, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate).
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