Lead Data Engineer

Publicis Groupe Holdings B.V; Mumbai; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A leading global marketing agency is seeking a Data Engineer to design and implement robust data pipelines using GCP. The ideal candidate will have 4-6 years of experience in data engineering, specifically focusing on web analytics, along with hands-on experience in GCP and AWS services. Responsibilities include integrating diverse data sources, optimizing data processing, and ensuring data integrity. A strong proficiency in SQL, Python, and problem-solving skills is essential for this role. Competitive compensation and work environment offered.

Qualifications

• 4-6 years of proven experience as a Data Engineer with web analytics focus.
• Hands-on experience with GCP & AWS, including analytics services.
• Strong proficiency in integrating data from diverse sources using APIs.
• Advanced knowledge of SQL, Python, and Bash scripting is essential.
• Demonstrated ability to execute end-to-end projects.

Responsibilities

• Design and implement scalable data engineering pipelines within GCP.
• Integrate various marketing data sources ensuring seamless flow.
• Execute end-to-end data engineering projects demonstrating technical skills.
• Employ SQL, Python, and Bash to optimize data processing tasks.
• Collaborate with teams to identify data needs and enhance decision-making.
• Ensure integrity and reliability of data pipelines.

Skills

Data engineering

SQL

Python

Bash scripting

GCP

AWS

Data integration

Project management

Education

Bachelors/ Masters in computer/allied STEM fields

BS in Mathematics, Statistics, Computer Science, Engineering, Data Science, Analytics

Tools

AWS Aurora

SAP

Salesforce

Pubsub

Dataflow

Bigquery

Cloud functions

Cloud run

Bigtable

Glue

Redshift

S3

SQS

Job description

Company description

Digitas is the global Marketing & Technology Services brand and part of the Publicis Groupe. Digitas' Connected Marketing Agency proposition is based on the principle that there are better ways for brands to connect with people and people with each other. Leveraging comprehensive data, technology, creative, media and strategy capabilities and a proprietary planning process called North, Digitas delivers ambitious outcomes via connected practices that include Creative + Media Campaigns, Brand Experiences, CRM & Loyalty and Marketing Transformation. A Gartner Magic Quadrant Global Marketing Agency Leader for five consecutive years, Digitas serves the world’s leading brands through a global network comprised of more than 4,000 employees across over 30 countries and 50 offices. For more information visit www.digitas.com, where everything connects. https://linktr.ee/digitas_india

Overview

Key Responsibilities

• Design and implement robust, scalable data engineering pipelines within GCP, tailored for web analytics.
• Integrate a variety of marketing & enterprise data sources, including AWS Aurora, SAP and Salesforce ensuring seamless data flow and accessibility.
• Execute at least 1-2 end-to-end data engineering projects, from conceptualization to deployment, demonstrating project management and technical prowess.
• Employ advanced SQL, Python, and Bash scripting to optimize data processing, analysis, and automation tasks.
• Collaborate with cross-functional teams to identify data needs, design solutions, and enhance data-driven decision-making capabilities.
• Maintain and ensure the integrity and reliability of data pipelines, implementing best practices in data security and compliance.

Qualifications

• Bachelors/ Masters in computer/allied STEM engineering fields with relevant 4-6 years of proven experience as a Data Engineer, with a focus on web analytics data engineering pipelines.
• Hands‑on experience with GCP & AWS, including its data processing and analytics services (Pubsub, Dataflow, Bigquery, Cloud functions, Cloud run, Bigtable, Glue, Redshift, S3, SQS etc)
• Strong proficiency in integrating data from diverse sources using APIs.
• Advanced knowledge of SQL, Python, and Bash scripting is essential.
• Demonstrated ability to execute end-to-end projects, showcasing effective project management and technical skills.
• Excellent problem‑solving abilities, with a keen eye for detail and a commitment to high‑quality outcomes.
• Strong communication skills, with the ability to convey complex technical concepts in a clear, concise manner.

BS in Mathematics, Statistics, Computer Science, Engineering, Data Science, Analytics, or related field (Preferred)