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Data Engineer
Syncpoint360
posted 5d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Design and implement scalable data models and architectures to support analytics and operational needs.
- Build and manage data warehousing solutions, particularly leveraging Snowflake.
- Develop and maintain ETL/ELT pipelines using tools like Azure Data Factory, Informatica, Talend, and SSIS.
- Implement real-time data streaming and processing using Apache Kafka and Spark Streaming.
- Develop and deploy data transformation workflows using Apache Airflow.
- Write efficient and optimized code in Python, Java, or Scala for data processing tasks.
- Leverage Azure Databricks and Azure Data Lake for big data processing and storage.
- Design and maintain relational databases using SQL and implement NoSQL solutions such as MongoDB, Cassandra, or DynamoDB.
- Collaborate with DevOps teams to build and maintain CI/CD pipelines for data workflows using Git and other tools.
- Monitor and optimize data workflows for performance, scalability, and cost-efficiency.
- Bachelors
- Bachelor s or Master s degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in data engineering or a related role.
- Data Modeling and schema design for analytics and reporting.
- Proficiency in Snowflake for cloud-based data warehousing.
- Strong experience in Python, with additional skills in Java or Scala.
- In-depth knowledge of Azure services: Azure Data Factory, Azure Databricks, Azure Data Lake.
- Hands-on experience with ETL/ELT tools like Informatica, Talend, or SSIS.
- Expertise in streaming frameworks like Apache Kafka and Spark Streaming.
- Proficiency in writing complex SQL queries and working with NoSQL databases.
- Strong familiarity with Git for version control and CI/CD pipelines.
Employment Type: Full Time, Permanent
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based on 1 employee
Flexible timing
Monday to Friday
No travel
Syncpoint360 Benefits
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