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Job Description & How to Apply Below
Experience Range:
- 05 To 08 Years (Mandatory)
(
Note:
Candidates below 5 years of IT experience shall not be considered)
JOB LOCATION:
Hyderabad, Pune
JOB DESCRIPTION
Must Have
Skills:
Strong hands-on experience in Python programming and Py Spark
Experience using AWS services (Red Shift, Glue, EMR, S3 & Lambda)
Experience working with Apache Spark and Hadoop ecosystem.
Experience in writing and optimizing SQL for data manipulations.
Good Exposure to scheduling tools. Airflow is preferable.
Must – Have Data Warehouse
Experience with AWS Redshift or Hive
Experience in implementing security measures for data protection.
Expertise to build/test complex data pipelines for ETL processes (batch and near real time)
Readable documentation of all the components being developed.
Knowledge of Database technologies for OLTP and OLAP workloads
Good To Have
Skills:
Good understanding of Data warehouse and Data Lakes
Familiarize ETL tools like Netezza or Informatica.
Experience working with No
SQL databases like Dynamo
DB or Mongo
DB.
Good to have exposure to AWS services (Step Functions, Athena)
Data Modelling exposure
Familiarity with Investment Banking domain
Responsibilities or Expectations from the Role:
Create and maintain optimal data pipeline architecture for efficient and reliable data processing.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Database management, ETL process, Data modelling, ensuring data quality and integrity.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Minimum Qualification:
15 years of Full Time Education
Interested candidates kindly share your updated resume to immediately with the details below (Mandatory)
Name:
Contact No.
Email :
Skillset:
Total exp:
Relevant Exp:
Fulltime highest qualification (Year of completion with percentage scored):
Current organization details (Payroll company):
Current CTC:
Expected CTC:
Notice period:
Current location:
Preferred
Location:
Any gaps between your education or career (If yes pls specify the duration):
Will you be able to join within 30/45 days? (Yes/NO)
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