Senior data engineer

1 month ago

Thiruvananthapuram, 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 , Num Py , and Django or Flask for API development.

Build and optimize databases, working with both relational databases (e.g., MSSQL , My SQL ) and No SQL databases (e.g., Mongo DB ) 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 , Num Py , and other data manipulation tools.

Strong experience with ETL processes : design, implementation, and optimization of data pipelines.

Expertise in working with relational databases ( MSSQL , My SQL ) and No SQL databases ( Mongo DB ).

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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