Data Engineer

Role & responsibilities

Responsibilities

Manage end-to-end data pipelines, ensuring seamless flow and integrity of data from diverse sources to analytical systems

Collaborate with data scientists, analysts, and business teams to understand data needs and develop

efficient solutions.

Implement robust data governance practices to maintain data quality standards and facilitate reliable

analysis and reporting

Conduct thorough data validation procedures to ensure accuracy and reliability of analytical outputs

Monitor data systems and pipelines, troubleshoot issues, and ensure the continuous availability of data

Ensure data quality, integrity, and consistency across different data sources and storage systems

Optimize data flow and storage processes for performance and scalability.

Preferred candidate profile

Skills & Requirement

Must Have...

At least 2-4 years of experience working in the field of analytics, reporting out metrics and deep dive analytics.

Strong proficiency with Advanced SQL (Window Functions, DML Commands, DDL Commands, CTES, Sub Queries, etc)

Expertise in building end to end data pipelines and ETL frameworks & tools

Ability to write complex queries and understanding of database concepts.

Strong understanding of data modelling, schema design, and database optimization techniques

Knowledge of version control (e.g., Git) and collaborative development practices.

Exceptional communication and collaboration skills.

Nice to have...

Exposure to broader analytics ecosystem

Experience with data lake architectures and big data technologies.

Education

Bachelors degree in computer science, Engineering, or a related field.

At least 2-4 years of relevant experience in analytics organizations of large corporates or in consulting companies in analytics roles.

Perks and benefits