Data Engineer - SQL/Python/Spark @ Adarsh Solutions

Job Description

Job Description 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

Employement Category:

Employement Type: Full time
Industry: Others
Role Category: Embedded / System SoftwareEngineering Design / Construction
Functional Area: Not Applicable
Role/Responsibilies: Data Engineer - SQL/Python/Spark

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Keyskills:   Data Engineering SQL Spark Python Snowflake Agile Methodology AWS Glue AWS Cloud