Position: Support Engineer

Must Have Technical Skills: Azure Data Factory

Good to have Technical Skills: Knowledge of sql or hive, python, pyspark, hdfs or adls

Preferred Industry Experience: Manufacturing

 Role:

Monitor Batch Pipelines in the Data Analytical Platform and provide workaround to the problems.

Troubleshoot issues, provide workaround, determine root cause, upon failures.

Desired Qualification:

·         0-3 years of DE or batch support experience.

·         Must be willing to work completely in the night shift.

·         Ability to work on a task independently or with minimal supervision.

·         Knowledge of Data Orchestration Tool, preferably ADF.

·         Knowledge of sql or hive, python, pyspark, hdfs or adls.

·         Work location: Remotely.

Nos of Resources required: 1 to 2

Work location: Remote

Qualification: BE, BTech, MBA, MCA Prefer Comp. Sci. background

Experience: 0-3 Years

Mobilization Period in weeks: 1 week

Duration: 6 to 12 months  

We need a proficient PySpark resource with good experience.

Position: Azure Pyspark

Pyspark + with Data warehousing and Azure will be add on.

·         Must have low level design and development skills.  Should able to design a solution for a given use cases. 

·         Agile delivery- Person must able to show design and code on daily basis

·         Must be an experienced PySpark developer and Scala coding.   Primary skill is PySpark

·         Must have experience in designing job orchestration, sequence, metadata design, Audit trail, dynamic parameter passing and error/exception handling

·         Good experience with unit, integration and UAT support

·         Able to design and code reusable components and functions

·         Should able to review design, code & provide review comments with justification

·         Zeal to learn new tool/technologies and adoption

·         Good to have experience with Devops and CICD

Nos of Resources required: 1 to 2

Work location: Bangalore

Experience: 8 yrs – 9 yrs

Mobilization Period in weeks: 2 weeks