Senior Data Engineer - I

Philips Iberica SAU; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Philips Iberica SAU is seeking an experienced data engineer to build and optimize ETL pipelines using SQL and AWS, ensuring high data quality and scalable data fabrics. The role focuses on integrating data from diverse sources, leveraging Redshift and Hadoop for analytics, and refining data processes to support business insights.

The ideal candidate will have 10+ years in data handling or analytics (or a Master's with less experience) and will join an office-based team that collaborates closely

Qualifications

• Bachelor's / Master's Degree in Computer Science, Information Management, Data Science, Econometrics, Artificial Intelligence, Applied Mathematics or Statistics or equivalent.
• Minimum 10 years of experience with Bachelor's in data handling, data analytics, AI modeling or equivalent OR no prior experience with Master's degree.
• Office-based teams operate in-person at least 3 days per week.

Responsibilities

• Build the infrastructure for ETL/ELT data extraction, transformation, and loading from diverse sources using SQL and AWS.
• Develop, maintain and optimize ETLs to improve data accuracy, stability, availability and pipeline performance.
• Work with Big Data tools like AWS Redshift, Hadoop, and MapReduce.

Skills

ETL

SQL

AWS

Big Data

Airflow

Kafka

Kinesis

Redshift

Hadoop

Data Modeling

Education

Bachelor's / Master's Degree in Computer Science/Information Management/Data Science/Econometrics/AI/Applied Mathematics/Statistics or equivalent

Tools

Airflow

AWS Glue

S3

AWS EMR

Kafka

Kinesis

Job description

Job Title

Job Description

Your role:

• Build the infrastructure required for extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies
• Develop, maintain and optimize ETLs to increase data accuracy, data stability, data availability and pipeline performance
• Strong knowledge in the Big data tools such as AWS Redshift, Hadoop, map reduce etc.
• Having knowledge in tools like Airflow, AWS Glue, S3, AWS EMR, Streaming data pipelines, Kafka/Kinesis is desirable
• Assists in solving data engineering challenges by analyzing data issues and applying simple solutions, working under general supervision.
• Helps develop technical solutions by integrating data from different sources and conducting basic feasibility checks.
• Supports complex data requests and queries by ensuring detailed and accurate responses that align with business needs and advanced technical capabilities, providing guidance and insights.
• Ensures data accuracy in reports by following validation and verification protocols, maintaining exemplary data quality standards, and ensuring compliance with industry regulations.
• Develops and optimizes algorithms to transform raw data into detailed statistical analyses to drive informed decision-making and enhance business operations.
• Automates the generation of advanced data analysis charts and graphs, enhancing reporting processes' efficiency and improving data visualizations' clarity and utility.
• Extracts detailed information on specific data sets quickly and efficiently, providing comprehensive analyses that support critical business operations and decision‑making processes.
• Responds promptly to queries from various business units, offering expert guidance on data trends and providing in‑depth insights on product or trend‑specific concerns.
• Suggests improvements by evaluating existing tools, systems, and databases, identifying opportunities for enhancements, and recommending solutions to drive innovation.
• Documents statistical‑based trending procedures and validates analysis processes in strict compliance with regulatory requirements, ensuring transparency, adherence to industry standards.

Minimum required Education:
Bachelor's / Master's Degree in Computer Science, Information Management, Data Science, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics or equivalent.

Minimum required Experience:
Minimum 10 years of experience with Bachelor's in areas such as Data Handling, Data Analytics, AI Modeling or equivalent OR no prior experience required with Master's Degree.

How we work together
We believe that we are better together than apart. For our office-based teams, this means working in‑person at least 3 days per week.

About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.

• Learn more about our business.
• Discover our rich and exciting history.
• Learn more about our purpose.