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  

Our Client, A leading Finance company is looking to augment in their team with appropriate candidates with following skills. 

Job Description

1. 3-5 yrs of experience in Cognos 11.x,10.x
2. Good knowledge of SQL
3. Knowledge on creating reports(crosstab, list) in report studio
4. Hands on experience on Cognos framework manager
5. Hands on experience on Cognos Admin related activities    
6. Sound knowledge of data warehousing concept
7. Budget is just a numbers.

Location: Delhi NCR region. (Onsite)

Contract period: Min 6 months 

We are available over chat to address any queries.

Data Scientist:

• Resources having 3-5 years of experience in Data Science building predictive models
• Having knowledge of Optimization and Simulation
• Good proficiency in R and Python
• Knowledge of Trade Promotion Optimization would be plus

Experience:

• 3 to 5 years

Job location:

• Bangalore/Chennai/ Hyderabad (WFH at the moment)

Duration:

• 3 months. May get extended.

Joining:

• immediate

We need a proficient PySpark resource with good experience.