Do you want to design, implement data pipelines, and dashboards along with
working on some of the latest Data Engineering technologies and tools? This is
not just an opportunity to build something current and innovative, but also to be
at the centre of our transformation to a data -driven, smart platform for
travellers, travel managers of corporate travel.
The engineers should know that data engineering is an evolving field, so
continuous learning and adaptation to new tools and technologies are essential.
They should also stay updated on best practices and emerging trends in the data
engineering space.
What you’ll do:
· Design, build and maintain data processing ETL
pipelines & data products in a multi -cloud, multi -region, distributed
processing context choosing the right technologies.
· Drive data investigations to deliver a
resolution of technical, procedural, and operational issues.
· Solve complex business problems by utilizing
disciplined development methodology, producing scalable, versatile, efficient
and supportable solutions using appropriate technologies.
Skills:
· Data engineering patterns: Sound knowledge of
the different data engineering patterns to determine what to use and when
· Data architecture: Understanding of data
architecture and frameworks like Data mesh, data fabric etc.
· Big Data Technologies: Proficiency in big data
technologies such as data lake, EMR, Glue for analysing large datasets.
Knowledge on CLoudera will be an added advantage.
· Programming Languages: Proficiency in
programming language Python
· Data Warehousing: Strong knowledge of data
warehousing solutions preferably Amazon Redshift.
· ETL/ELT Tools: Familiarity with orchestration
tools
· Database Systems: Expertise in both relational
and NoSQL databases.
· Data Modelling: Skill in designing efficient
data models, both for OLAP and OLTP systems.
· Streaming Data: Knowledge of streaming data
technologies.
· Version Control: Experience with version control
systems: Git.
· Containerization and Orchestration:
Understanding of containerization technologies (Docker) and container
orchestration platforms (Kubernetes).
· Data Security: Knowledge of data encryption,
access control, and compliance with data privacy regulations.
· Monitoring and Logging: Proficiency in setting
up monitoring and logging solutions for data pipelines using different tools.
Requirements
A Data Engineer who can work on developing python
framework with extended OOP knowledge working with micro
services/EKS.
- Experience
: 6 -13 years
- Work
Location : Cochin, Trivandrum, Chennai, Bangalore
- Notice
Period : Immediate or within 30 days.
- An
ideal candidate would be someone who has application development experience with Java or Python previously and who has switched to data
engineering or vice versa.
- Strong Python programming knowledge is mandatory.
📌 Data Engineers & Architects (Kochi)
🏢 Leading
📍 Kochi
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