Summary
Software Technology Inc. is currently seeking a Data Engineer to join their team. The role involves developing and deploying data pipelines, creating data models, and working with various data technologies in a cloud environment.
Responsibilities
- Experience working in Azure Databricks, Apache Spark
- Proficient programming in Scala/Python/Java
- Experience developing and deploying data pipelines for streaming and batch data sources getting from multiple sources
- Experience creating data models and implementing business logic using tools and languages listed
- Working knowledge in Kafka, Structured Streaming, DataFrame API, SQL, NoSQL Database
- Comfortable with API, Azure Datalake, Git, Notebooks, Spark Cluster, Spark Jobs, Performance tuning
- Must have excellent communication skills
- Familiarity with Power BI, Delta Lake, Lambda Architecture, Azure Data Factory, Azure Synapse a plus
- Telecom domain experience not necessary but really helpful
Skills
- Experience working in Azure Databricks, Apache Spark
- Proficient programming in Scala/Python/Java
- Experience developing and deploying data pipelines for streaming and batch data sources getting from multiple sources
- Experience creating data models and implementing business logic using tools and languages listed
- Working knowledge in Kafka, Structured Streaming, DataFrame API, SQL, NoSQL Database
- Comfortable with API, Azure Datalake, Git, Notebooks, Spark Cluster, Spark Jobs, Performance tuning
- Must have excellent communication skills
- Familiarity with Power BI, Delta Lake, Lambda Architecture, Azure Data Factory, Azure Synapse a plus
- Telecom domain experience not necessary but really helpful
Qualifications
Must Haves
- Experience working in Azure Databricks, Apache Spark
- Proficient programming in Scala/Python/Java
- Experience developing and deploying data pipelines for streaming and batch data sources getting from multiple sources
- Experience creating data models and implementing business logic using tools and languages listed
- Working knowledge in Kafka, Structured Streaming, DataFrame API, SQL, NoSQL Database
- Comfortable with API, Azure Datalake, Git, Notebooks, Spark Cluster, Spark Jobs, Performance tuning
- Must have excellent communication skills
Nice to Haves
- Familiarity with Power BI, Delta Lake, Lambda Architecture, Azure Data Factory, Azure Synapse a plus
- Telecom domain experience not necessary but really helpful