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2 days ago
This role is for a talented Data Architect to design and develop data integration workflows and pipelines.
The ideal candidate will have expertise in Apache Spark, ETL tools, SQL, and cloud platforms. They will work closely with cross-functional teams to ensure seamless data movement, transformation, and storage.
Key Responsibilities:- Design and develop efficient data integration workflows using modern tools and frameworks.
- Optimize and automate data pipelines to ensure high performance and scalability.
- Monitor and troubleshoot data processes to ensure reliability and data quality.
- Bachelor's/Master's degree in Computer Science, Information Technology, or related field.
- 4-8 years of hands-on experience in ETL development and data engineering.
- Strong expertise in Apache Spark (PySpark/Scala/Java) for distributed data processing.
- Proficiency with ETL tools (e.g., Informatica, Talend, Databricks, AWS Glue, or similar).
- Strong knowledge of SQL and experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL, MySQL).
- Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native data services.
- Opportunity to work with cutting-edge technologies and innovative projects.
- Collaborative team environment with experienced professionals.
- Possibility of career growth and professional development.
- Experience with streaming platforms (Kafka, Kinesis, Spark Streaming).
- Knowledge of containerization and orchestration (Docker, Kubernetes, Airflow).
- Exposure to machine learning pipelines and data science collaboration.
Awarding certification in data services is a plus
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