Job Description

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Job Description

Quality Engineer
24 January 2022
Information Technology
Bangalore, Karnataka
8+ years
OS: Mid-range/Unix

Experience: 8+ years IT experience, with at least 5+ years of “Quality Engineer” focused titles/roles,

Data Tools: Hands on experience with Apache Beam or Informatica.

Testing: Hands on experience with automated testing activities/outcomes

DevOps: Experience with the processes involving Microservices facilities for artefacts developed

Platform/OS: Mid-range/Unix

Languages: Unix (Shell) Scripting/commands, SQL, Python

File formats: Text, CSV, Parquet, JSON, XML

Scheduling: Jenkins, Airflow

Auto Scripting: Designing/creation of scripts for repetitive activity. E.g. Unix scripting/SQL

Big data: Exposure to Data Lake Concepts, Hive (Schema), HDFS

Source Control tools: GIT

Delivery Models: Agile, Scrum

Ingestion Design: Create/assess Source/Target data mapping designs
Frameworks: Development and delivery frameworks

Activity Reporting/Repository: Jira, Confluence.
Quality: Accuracy and attention to detail Nice to have:

Industry: Financial Services/Banking

Solutions: Define solutions from High level to detail design to address automating ingestion activity. Facilitate/confirm requirements from product owners, business team members and technical associates,

Process Automation: Automating processes in file management, testing data in files, analysis and design, configuration management.

Script Automation: Ability to design/create scripts to automate/improve data copy/migration/ETL for any repetitive activity.

Languages: Java, Python

Scheduling: Control-M

Databases: Relational. E.g. POSTGRESS, Oracle - as a ETL developer

File Formats: Mainframe – experience with referencing its data formats/copybooks

Big data: Experience referencing/using Hive (Schema) to access data in HDFS

Metadata management tools: MDM, EDC and Axon

Performance: Assess, recommend, improve mappings, SQL queries, Batch feeds

Automation Tools: Other tools that may add value to an automation program and generally support development. E.g. API, REST, JDBC, Webservices, Message Queues/Load balancer,

Cloud: Experience with processing of data files to be ingested/stored in the Cloud, preferably with AWS.

Prod Support: Experience in a production support role performing root cause / impact analysis - under time constraints

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