AWS Data Engineer
4 weeks ago
Role : Data Engineer
Must-Have :
- 4 to 6 years of Relevant experience in Data Engineering and delivery.
- 3 to 4 years of relevant work experience in large-scale Data applications
- AWS Glue is mandatory.
- Strong 4-6 years of working experience in SQL Spark Python, Snowflake, and AWS cloud knowledge.
- Good aptitude, strong problem-solving abilities, and analytical skills, ability to take ownership as appropriate.
- Should be able to do coding, debugging, performance tuning, and deploying the apps to the Production environment.
- Experience working in Agile Methodology.
- Ability to learn and help the team learn new technologies quickly.
- Excellent communication and coordination skills
- Must be able to integrate quickly into the team and work independently towards team goals.
Good to have :
- Knowledgeable (and preferred hands-on)
- UNIX environments, different CICD tools, Scheduling tools like Autosys, Airflow, etc.
- Knowledge / Working Experience in AWS Glue
- Exposure to any data platform Databricks, Plantir can be good to have
Role & Responsibilities :
- Be accountable for the delivery of the project within the defined timelines with good quality
- Work with the clients and Offshore leads to understand requirements, come up with the high-level design, and complete development, and unit testing activities.
- Keep all the stakeholders updated about the task status/risks/issues if there are any.
Key Skills :
- SQL/Python, Spark, Snowflake, and AWS Cloud.
Education :
- BE/B. Tech from a reputed institute
(ref:hirist.tech)-
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