Senior Data Engineer

2 months ago

Trivandrum, India NeoITO Full time
We are seeking an experienced

Data Engineer

with 3+ years of hands-on experience in designing, building, and maintaining scalable data infrastructure. The ideal candidate will have deep expertise in the

Python stack

and be skilled in building robust data pipelines, working with large datasets, and optimizing data architectures to support advanced analytics and business needs.

Experience with

Databricks

and

Cloud-based data platforms

is highly desirable.

If you’re passionate about data engineering, automation, and continuous improvement, we’d love to hear from you

Key Responsibilities:

Design, develop, and maintain scalable

ETL pipelines

to ingest, clean, and transform large datasets for analytics and business applications.Implement data integration solutions using

Python

and frameworks such as

Pandas ,

NumPy , and

Django

or

Flask

for API development.Build and optimize databases, working with both relational databases (e.g.,

MSSQL ,

MySQL ) and NoSQL databases (e.g.,

MongoDB ) to manage structured and unstructured data.Develop automation scripts using

Python

and

Selenium

for data extraction and workflow automation.Collaborate with data scientists, analysts, and other stakeholders to ensure the data infrastructure supports business and analytical needs.Design and develop scalable

data processing workflows using Databricks

to transform and analyse large datasets efficiently.Ensure data quality by developing and performing unit testing, implementing data validation processes, and optimizing performance.Work with cloud platforms ( AWS ,

Azure ,

GCP ) and

Databricks

for managing data storage and processing solutions as needed.Monitor, troubleshoot, and optimize data pipelines to ensure high availability and performance.Employ best practices in software development (version control, code reviews, Agile methodologies) to ensure code reliability and scalability.Stay up-to-date with the latest industry trends in data engineering and actively suggest improvements to existing processes and infrastructure.

Required Skills and Qualifications:

Professional experience as a

Data Engineer

or in a similar role.Proficient in

Python , with experience in libraries such as

Pandas ,

NumPy , and other data manipulation tools.Strong experience with

ETL processes : design, implementation, and optimization of data pipelines.Expertise in working with relational databases ( MSSQL ,

MySQL ) and NoSQL databases ( MongoDB ).Hands-on experience with

Databricks

for scalable data processing and analytics.Solid experience in API development using frameworks like

Django

or

Flask .Hands-on experience with

data automation tools

such as

Selenium .In-depth knowledge of

Object-Oriented Programming (OOP)

and software design principles.Experience with version control systems like

Git

for collaborative development.Strong problem-solving skills and attention to detail, ensuring data accuracy and reliability.Familiarity with

cloud data platforms

( AWS ,

GCP , or

Azure ) for data storage and processing.

Join us in building a data-driven future by enabling efficient, scalable, and automated data pipelines, empowering our organization to make informed business decisions with speed and accuracy

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