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Job Description
- Role: Data Engineer
- Experience: 68 years
- Shift Timing: 7:00 PM to 3:00 AM
- Responsible for design, development, and implementation of solutions to exchange data using the required ETL tool, Azure Data Factory, Synapse and DataBricks.
- Experience in data cleansing and data migration using Python.
- At least 3+ years of hands-on experience in Azure ADF.
- Coding in Pysense for DataBricks will be added advantage.
- Overall knowledge of modern Azure ecosystem.
- 4-8 years of delivering end to end ETL project.
- Strong verbal and written communication and shall be able to work directly with client and business to understand the domain/requirements.
- Must be able to start a conversation with client directly and suggest the best approach on his/her own.
- Strong in DWH concepts and good understanding of modern analytics tools and processes.
- Strong in SQL/ TSQL/PL/SQL, writing effective SQL codes and stored procedures.
- Experience in DBMS like SQL Server and knowledge of know-hows of the same and troubleshooting experience.
- Develop new code and/or support operations, maintenance, and enhancements of existing code
- Conduct multiple levels of testing including unit, system, integration and performance
- Estimate and plan releases.
- Understand the best practices and coding standards.
Qualifications
- Bachelors or Masters degree in Computer Science, Engineering, or a related field.
- Proven experience as a Data Engineer or in a similar role.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Ability to work in a fast-paced, agile environment
- Skills: sql,dwh,adf,azure,etl,agile,python
Skills
PythonData CleansingData MigrationEtlEtl ToolImplementationData EngineerAnalyticsSqlIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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