Experienced Engineer, Data Management

8080-Johnson & Johnson Private Limited Legal Entity

Bengaluru

On-site

INR 1,200,000 - 2,400,000

Full time

3 days ago

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Job summary

Johnson & Johnson is seeking an Experienced Data Engineer to design and deliver scalable data pipelines, enabling analytics and AI use cases across the enterprise. You will collaborate with technology teams to translate complex requirements into governed, reliable data solutions.

The role requires strong Python/SQL/ETL skills, cloud experience (Databricks, Azure/AWS/GCP), and a focus on data quality, governance, and security. Fluency in English is essential.

Qualifications

Bachelor’s degree or equivalent in a quantitative field such as Computer Science, Engineering, Information Systems, statistics, data science or economics.
5+ years of related experience in data engineering, data management, analytics or BI.
Hands-on experience building production data pipelines using Python, R, Scala, SQL or ETL tools.
Experience integrating enterprise data sources, profiling and cleansing data to ensure quality.
Knowledge of data modeling, metadata, lineage, governance, and data security practices.
Experience with cloud platforms (Databricks, Azure, AWS, GCP) and data visualization tools.

Responsibilities

Architect, build, test, deploy, and support batch and real-time data pipelines for analytics and reporting.
Ingest, parse, profile, wrangle, cleanse, and organize structured and unstructured data for downstream use.
Implement data quality rules, investigate defects, and monitor quality trends against standards.
Develop reusable data assets and platform components for BI, analytics, and data science needs.
Document data lineage and governance; support master and reference data management.
Automate workflows and controls to improve scalability, reliability, and user experience.
Apply responsible AI, information security, and Credo principles in delivery and decision making.

Skills

Team collaboration

Problem solving

English fluency

Data analysis

Stakeholder management

Analytical reasoning

Education

Bachelor's degree in Computer Science/Engineering/Data Science or related

Tools

Python

Scala

SQL

ETL tools (Alteryx, KNIME)

Databricks

Azure/AWS/GCP

Tableau/Power BI

Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com. As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Details

Job Function: Data Analytics & Computational Sciences

Job Sub Function: Data Engineering

Job Category: Scientific/Technology

All Job Posting Locations: Bangalore, Karnataka, India

Job Description

The Experienced Engineer designs and delivers trusted, reusable data capabilities by integrating enterprise data products, engineering scalable batch and real-time pipelines, improving data quality, and enabling analytics and AI use cases. The engineer partners with technology teams to translate moderately complex requirements into reliable, governed, and supportable data solutions.

Key Responsibilities

Architect, build, test, deploy, and support batch and real-time data pipelines and aggregation processes that deliver accurate, timely data for analytics and reporting.
Prepare moderately complex structured and unstructured data by ingesting, parsing, profiling, wrangling, cleansing, standardizing, matching, and organizing it for downstream use.
Implement data quality rules and controls; investigate defects, identify root causes, coordinate remediation, and monitor quality trends against agreed standards.
Develop custom programs, reusable data assets, and platform components that address defined business intelligence, analytics, and data science needs.
Integrate data across enterprise platforms, document source-to-consumption lineage and metadata, and support governed master and reference data.
Automate repeatable workflows and operational controls to improve scalability, reliability, efficiency, and user experience.
Apply responsible AI, information security, data privacy, Johnson & Johnson’s Credo, and Leadership Imperatives in day-to-day delivery and decision-making.

Qualifications

Bachelor’s degree or equivalent in Computer Science, Engineering, Information Systems, Statistics, Mathematics, Data Science, Economics, Finance, or a related quantitative field.
Minimum of 5 years of related experience in data engineering, data management, analytics, business intelligence, or a comparable technical field.
Hands‑on experience architecting automated data flows and building production data pipelines using Python, R, or Scala and SQL, or ETL tools such as Alteryx, KNIME, or similar platforms.
Experience integrating enterprise data sources and evaluating data quality through profiling, validation, cleansing, standardization, monitoring, and remediation.
Strong analytical skills and hands‑on experience working with structured and unstructured data, quantitative analysis, and data visualization.
Experience with enterprise data platforms and cloud technologies, including Databricks and Azure, AWS, GCP, or comparable environments.
Working knowledge of data modeling, metadata, lineage, semantic layers, master and reference data, and governance controls.
Experience using analytical or visualization tools such as Tableau, Power Apps, Power BI, Qlik, Cognos, Shiny, Dash, or Streamlit.
Working knowledge of automation, AI‑assisted analytics, machine learning, or GenAI concepts, with the ability to apply responsible AI and sensitive‑data handling requirements.
Strong collaboration, communication, problem‑solving, and stakeholder management skills, including the ability to translate technical concepts into business value.
Fluency in English, written and spoken.

Preferred Skills

Experience with procurement data domains and source‑to‑settle processes, including supplier, spend, contract, category, sourcing, and purchasing data.
Knowledge of procurement and ERP platforms such as SAP, Ariba, VISION, eICD, Cognos, or comparable systems.
Experience applying AI or machine learning to data quality, stewardship, entity resolution, anomaly detection, or analytics use cases.

Required Skills: Preferred Skills