Vacancy expired!
- 5-14 years of experience in ADF, Azure SQL, Azure Databricks , Python, any one of Teradata/Redshit/Greenplum/Snowflake , Spark/Kafka
- The candidate will be working in the team as a data engineer building data pipeline solutions along with Enterprise Data Warehouse and Azure Data Lake solutions in cloud with the above skill set.
- He should have good experience with relational SQL including Postgres/DB2/Azure SQL/Snowflake/SparkSQL etc.
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets using big data tools: ADF, Spark, Kafka, Azure Databricks etc is a big plus.
- Experience with data modelling of relational and dimensional data models
- Experience in Multi-Parallel Processing (MPP) database or Teradata/Redshift/Greenplum/Azure Synapse/Snowflake is a big plus.
- Good analytical, problem solving, communication and interpersonal skills.
- Self-motivated and ability to work consistently and efficiently to achieve end goals.
- Interest in learning the business functionality
- Experience supporting and working with cross-functional teams in a dynamic environment
- Skilled in identifying, designing, and implementing internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Experience in building processes supporting data transformation, data structures, metadata, dependency and workload management.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- ADF, Azure SQL, Python, Any one of Teradata/Redshit/Greenplum/Snowflake , Data Engineering, Either of Spark/Kafka”, Azure Databricks
- ID: #42733207
- State: New York New york city 10001 New york city USA
- City: New york city
- Salary: $60 - $65
- Job type: Contract
- Showed: 2022-06-10
- Deadline: 2022-08-06
- Category: Et cetera