Azure Data Bricks Developer

Number of Openings*

1

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)

No

Shift Time

General

Business travel required (Yes / No)

No

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