
Cloud Data Solutions Architect
2 days ago
Our team is looking for a Lead Data Engineer with experience in designing, developing, and optimizing ETL/ELT data pipelines using Apache Spark (PySpark or Scala), AWS Glue, and Azure Data Factory. This role involves working with structured and unstructured data to build scalable ingestion and transformation workflows across cloud platforms.
- Around 6+ years of experience in data engineering or cloud computing data development.
- Develop and maintain large-scale data processing systems using big data technologies like Hadoop, Spark, and NoSQL databases.
- Work with cross-functional teams including data scientists, analysts, and application developers to support advanced analytics, reporting, and ML workflows.
- Collaborate with stakeholders to identify business requirements and develop data-driven solutions that meet those needs.
- Stay up-to-date with industry trends and best practices in data engineering and architecture.
Required Skills:
Excellent programming skills in languages such as Java, Python, and Scala.
Experience with data warehousing, ETL processes, and data governance.
Familiarity with cloud-based services and tools like AWS Glue, ADF, and ADB.
Strong understanding of data modeling, data quality, and data security principles.
Excellent problem-solving skills and ability to work under pressure.
Benefits:
Competitive salary and benefits package.
Opportunities for career growth and professional development.
Collaborative and dynamic work environment.
Recognition and rewards for outstanding performance.
Others:
8x5 support model.
Immediate Joiner.
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