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Clifyx Technology
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Azzure Data Bricks Developer

Azzure Data Bricks Developer

Clifyx Technology

5 - 8 years

7 - 10 Lacs

Bengaluru

Posted:1 month ago| Platform:

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Skills Required

spark Billing Control-M Scheduling Information management Stakeholder management big data SQL Python data profiling

Work Mode

Work from Office

Job Type

Full Time

Job Description

Number of Openings*

Approved ECMS*

Yes

Duration of contract*

6 Months

Total Yrs. of Experience*

5 8 years

Relevant Yrs. of experience*

>4 years

Detailed JD *(Roles and Responsibilities)

PFB, table

Mandatory skills*

Pyspark, Azure databricks(PFB, table)

Desired skills*

Pyspark, Azure databricks, SQL

Domain

Anything

Vendor billing rate* (INR /Day)

5500 INR/Day

Work Location*

Only Pune

Background check process to be followed: Pre/Post/Hybrid

Post

Mode of Interview: Telephonic/Face to Face/Skype Interview

Skype & F2F

WFO / WFH / Hybrid

WFO

Any Certification (Mandatory)

Shift Time

General

Business travel required (Yes / No)

Job Description

Category

Essential for this role

Good to have

Education and Qualifications

Bachelor or Master or Doctorate

degree in maths, statistics, computer

science, information management

Work Experience

5-8 years experience working in Data Engineering and Data Warehousing.

Technical / Professional Skills

Please provide at least 3

Hands On with advanced SQL, Python etc.
Hands On in data profiling
Hands On in working on Cloud like Azure and Cloud DW like Databricks
Hands On experience on Scheduling tools like Airflow, Control M etc.
Knowledgeable on Big Data tools like Spark (python/scala), Hive, Impala, Hue and storage (e.g. HDFS, HBase)
Knowledgeable in CICD processes BitBucket/GitHub, Jenkins, Nexus etc.
Knowledgeable managing structured and unstructured data types.

Knowledgeable in building Microservices, Rest APIs, Data as a Service architectures.
Knowledgeable in streaming frameworks (Kafka/Spark Streaming) is preferred

Non-Technical / Soft Skills

Experience in working with a team of data engineers working from different locations in different time zones.
Excellent communication.
Effective prioritisation
Pragmatic stakeholder management.

Other Task-Specific Knowledge

Proficient in Excel, Word, and PowerPoint.
Ability to prioritise and manage to multiple concurrent activities

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