Data Modeller - BLR

Photon

India

On-site

INR 1,200,000 - 2,000,000

Full time

14 days+

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Job summary

A leading tech company seeks an experienced data engineer to develop data integration solutions and optimize data pipelines. The ideal candidate will have over 7 years of experience in financial services and a strong background in cloud technologies like AWS or Azure. Proficiency in ETL/ELT tools and data modeling is essential. This position involves working in an agile environment and mentoring junior engineers, offering a chance to drive strategic data initiatives. Excellent communication skills are also required.

Qualifications

  • Bachelor's degree in computer science or equivalent technology field.
  • 7+ years of experience, preferably within financial services and/or a shared service model.
  • RMDS experience (PostgreSQL, SQL MI).
  • Hands-on experience with ETL/ELT tools (Informatica / Nifi / Snaplogic).
  • Experience in cloud services such as AWS or Azure.
  • Experience in Python, Shell Scripting and Java or similar programming languages.
  • Experience with PowerBI.
  • Experience with project management tools (agile tools), Office tools & presentation skills.

Responsibilities

  • Develop and drive a strategy as per the needs of the team.
  • Design and develop low to moderate complex data integration solutions.
  • Build automation of CI/CD pipelines in Jenkins Core.
  • Optimize data pipelines, architectures, and datasets with ELT/ETL tools.

Job description

The Value You Deliver
  • Strong experience of working in large teams and proven technical leadership capabilities
  • Knowledge of Enterprise level implementations like Data warehouse, Automated solutions.
  • Ability to negotiate, influence and work with business peers and management.
  • Ability to develop and drive a strategy as per the needs of the team
  • Good to have: Programming knowledge.
The Skills that are Key to this role
Technical / Behavioural
  • Bachelor's degree in computer science or equivalent technology field.
  • 7+ years’ experience, preferable within financial services and/or a shared service model
  • Strong attention to detail & analytical skills.
  • RMDS experience (PostgreSQL, SQL MI)
  • Designing and developing low to moderate complex data integration solution
  • Hands on experience of ETL/ELT tools (Informatica / Nifi / Snaplogic)
  • Experience in cloud services such as AWS or Azure
  • Understanding of Data Modeling
  • Experience with PowerBI
  • Hands-on experience in building automation of CI/CD pipelines in Jenkins Core etc.
  • Experience in Python, Shell Scripting and Java or similar programming languages
  • Experience/Knowledge on Kubernetes and Containerization
  • Knowledge of Logging, Telemetry and data security on AWS/Azure
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing data pipelines, architectures, and datasets with ELT/ETL tools
  • Strong Data modeling experience for OLTP/OLAP and No SQL scenarios
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Very good organizational skills. Knowledge of agile methods is a plus.
  • Successful history of manipulating, processing, and extracting value from large, disconnected datasets
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Experience with relational SQL and NoSQL databases, including Postgres DB
  • Experience with project management tools (agile tools), Office tools & presentation skills
  • Experience with Snowflake will be an added advantage
  • Good knowledge on ETL/ELT experience with both structured and unstructured data stores.
The Skills that are Good to Have for this role
  • Ability to work in an Agile team structure.
  • Ability to gather customer requirements and make design decisions.
  • Ability to mentor junior data engineers.
  • Strong communication and presentation skills
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