Research Data Engineer

Adriindia; Patna; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A data-driven organization located in Patna, India, is seeking a Research Data Engineer to manage datasets and build automated data pipelines. The ideal candidate will have 3-5 years of experience in data engineering and expertise in Python and SQL. Responsibilities include conducting data audits, developing ETL workflows, and collaborating with research teams on data-driven insights. This position prioritizes strong analytical skills and effective communication of data findings. The compensation will match the applicant's qualifications and experience.

Qualifications

• 3–5 years of experience in data engineering, analytics engineering, or applied data roles.
• Strong analytical and problem-solving capabilities.
• Ability to communicate technical data findings to non-technical stakeholders.

Responsibilities

• Conduct comprehensive audits of existing organisational datasets.
• Develop automated data pipelines to reduce manual reporting.
• Design and maintain structured data models to support research.

Skills

Data engineering

Python

SQL

ETL/ELT pipelines

Data cleaning

Data visualization

API integration

Git/GitHub

Workflow orchestration

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or related discipline

Tools

PostgreSQL

MySQL

PowerBI

Tableau

Job description

The Research Data Engineer will be responsible for identifying, structuring, and leveraging organisational data to generate meaningful business and research insights. This role involves auditing and organising existing datasets, building automated data pipelines, supporting research teams in optimising workflows, and collaborating with the development team on data‑intensive systems.

The position requires strong analytical thinking, technical proficiency in data handling and automation, and the ability to translate complex datasets into actionable insights for leadership and research stakeholders.

Key Responsibilities

• Conduct comprehensive audits of existing organisational datasets and create structured data inventories.
• Identify data gaps, inconsistencies, and quality issues; implement validation and cleansing strategies.
• Develop automated data pipelines (ETL/ELT workflows) to reduce manual reporting and repetitive data tasks.
• Design and maintain structured data models to support research and operational requirements.
• Generate business and research insights through data analysis and interpretation.
• Develop dashboards and reporting tools to support leadership decision‑making.
• Collaborate with research teams to optimise data collection and analysis processes.
• Work closely with the development team on data‑heavy applications, APIs, and reporting modules.
• Maintain documentation for data structures, workflows, and transformation logic.
• Promote best practices in data governance, data quality, and reproducibility.

Technical Skills Required

• 3–5 years of experience working in data engineering, analytics engineering, or applied data roles.
• Strong proficiency in Python for data processing, transformation, and automation.
• Advanced SQL skills with hands‑on experience in PostgreSQL or MySQL, including schema design, indexing, and query optimisation.
• Proven experience designing and maintaining ETL/ELT pipelines and automated data workflows.
• Experience working with large and complex datasets, including data cleaning, validation, and transformation.
• Familiarity with data visualisation and dashboarding tools PowerBI or Tableau.
• Understanding of backend systems and APIs for data extraction and integration.
• Familiarity with version control systems such as Git/GitHub and structured documentation practices.
• Working knowledge of scheduling or workflow orchestration tools (e.g., cron jobs, Airflow, or equivalent) is desirable.

Analytical & Professional Skills

• Strong analytical and problem‑solving capabilities.
• Ability to derive meaningful insights from ambiguous or incomplete datasets.
• Clear communication skills, capable of translating data findings into non‑technical insights.
• High ownership and accountability in managing data integrity and reliability.
• Strong documentation discipline and process orientation.
• Ability to collaborate effectively with research and technical teams.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related discipline.
• 3–5 years of relevant experience in data engineering, analytics, or applied data roles.

Compensation

Remuneration will be commensurate with qualifications and experience, as per ADRI norms.

Equal Opportunity Statement

ADRI is an equal opportunity employer committed to diversity and inclusivity. Qualified candidates from diverse backgrounds are encouraged to apply.

Last date of application: 22 April, 2026