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18/05 HR
HR Manager at Yo HR Consultancy

Views:780 Applications:100 Rec. Actions:Recruiter Actions:29

Data Engineer - Consulting Firm (3-5 yrs)

Gurgaon/Gurugram Job Code: 926707

Data Engineer

Location: Gurgaon

Experience: 3.0 - 5.0 Years

Must-Have:

- Bachelor's degree in a quantitative field (e.g., Engineering, Mathematics, Operations Research, Statistics, etc.) from Tier 1/2 institute.

- Experience in Big data Technologies like Hands-on with Scala, Apache Spark, Hadoop, HDFS, MLlib, Airflow

- Experience in AWS

Desired background/skills:

Background:

- Bachelor degree in a quantitative field (e.g., Engineering, Mathematics, Operations Research, Statistics, etc.) from Tier 1/2 colleges.

- 4 or more years of professional experience in areas like development of data pipelines, implementation of data lakes, setting up of cloud ecosystem, development of ETL tools etc.

- Previous exposure of working with clickstream data coming from Adobe analytics and Google analytics will be given extra consideration.

- Previous experience of working directly with clients in US or Europe is a must

Required Skills:

- Strong AWS Experience. Experience of working on different components of the ecosystem.

- A certification would be helpful.

- Experience with the following aspect of data engineering

- Building and optimizing - big data- data pipelines, architectures and data sets.

- Manipulating, processing, and extracting value from large disconnected datasets

- Development of the data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

- Knowledge and working experience of Spark/Scala

- Good experience with at least one ETL tool like Talend, Informatica etc.

- Build processes supporting data transformation, data structures, metadata, dependency and workload management

- Expertise in SQL and Relational Databases.

- Expertise in at least one of the NoSQL databases.

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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