Data Engineer
New
A
AssistRx, LLCIT
Position may telecommute / work remotely from anywhere in the U.S.Full-TimeJunior
Salary not disclosed
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Job Details
- Experience
- 1 year of experience in the job offered or a related occupation
- Required Skills
- PythonSQLETLHadoopSalesforceSnowflakeApache KafkaAzureSpark
Requirements
- Bachelor’s degree or foreign equivalent in Computer Science, Computer Engineering, Data Analytics, Information Systems, or related field.
- 1 year of experience in the job offered or related occupation such as Programmer Analyst.
- 1 year of experience with ETL.
- 1 year of experience with Python.
- 1 year of experience with SQL.
- Proficiency with Azure Data Factory.
- Experience with data platforms including Snowflake, Hadoop, Spark, and SQL Server.
- Familiarity with cloud environments including Azure and AWS.
- Experience working with Apache Kafka and Salesforce.
- Ability to commit to 40 hours per week.
Responsibilities
- Build ETL jobs using Azure Data Factory for internal projects and external customers across platforms like Azure, Salesforce, and SFTP.
- Develop and monitor ETL jobs to manipulate, transfer, and ensure quality of large data volumes.
- Troubleshoot and resolve ETL job failures by logging into environments and collaborating with team members.
- Create Azure Data Factory pipelines and use SQL scripts for data manipulation and cleaning.
- Build data lineage artifacts and design/mapping documentation for QA and UAT processes.
- Assess data transformation needs and evaluate new data integration technologies.
- Build ETL jobs for the Snowflake data platform to support operational and analytical reporting.
- Implement checks and balances with data quality analysts to maintain environment-wide data quality.
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