Senior Associate Data Engineering L2

Publicis Groupe; Gurgaon; On-site; INR 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Gender-Neutral Policy

18 paid holidays throughout the year.

Generous parental leave and new parent

Flexible work arrangements

Employee Assistance Programs

Job summary

Publicis Sapient is seeking a Senior Associate L2 – Data Engineering to translate client requirements into scalable data solutions and drive architecture discussions for robust data pipelines. The role emphasizes batch and real-time data ingestion from multiple sources and cross-team collaboration.

You will leverage big data technologies and cloud platforms to deliver end-to-end data ecosystems that power analytics and business transformation, enabling clients to derive value from data-driven

Qualifications

• 6+ years IT experience, with 3+ years in data engineering.
• Hands-on with Big Data technologies and cloud platform Azure (multi-cloud is a plus).
• Strong programming in Scala or Python.

Responsibilities

• Design and deliver scalable data engineering solutions to address complex business requirements.
• Build and optimize data ingestion pipelines for batch and real-time processing from multiple data sources.
• Implement robust data processing, storage, and computation frameworks ensuring performance and scalability.
• Drive architecture discussions and ensure the overall health and efficiency of data solutions.
• Develop analytics, aggregation, and search capabilities to enable data-driven decision-making.
• Collaborate with cross-functional teams to integrate data platforms with business applications.
• Implement cloud-based data solutions leveraging AWS, Azure, or GCP platforms.

Skills

Scala

Python

Big Data

Spark

Kafka

Airflow

NoSQL

Cloud

IAM

Tools

Spark

Hive

Kafka

Flink

NiFi

Airflow

MongoDB

Cassandra

Redshift

BigQuery

Job description

Senior Associate L2 – Data Engineering

Publicis Sapient is seeking a Senior Associate L2 – Data Engineering to join our high performing engineering team. In this role, you will translate client requirements into scalable data solutions and drive technical design discussions to ensure robust and efficient architectures. You will leverage your expertise in big data, cloud platforms, and data integration to build end-to-end data pipelines that power analytics and business transformation. This role is critical in enabling clients to unlock value through modern data ecosystems and advanced engineering practices.

Your Impact

• Design and deliver scalable data engineering solutions to address complex business requirements.
• Build and optimize data ingestion pipelines for batch and real-time processing from multiple data sources.
• Implement robust data processing, storage, and computation frameworks ensuring performance and scalability.
• Drive architecture discussions and ensure the overall health and efficiency of data solutions.
• Develop analytics, aggregation, and search capabilities to enable data-driven decision-making.
• Collaborate with cross-functional teams to integrate data platforms with business applications.
• Implement cloud-based data solutions leveraging AWS, Azure, or GCP platforms.

Qualifications

• 6+ years of IT experience, with 3+ years in data engineering or related technologies.
• Hands‑on experience with Big Data technologies and cloud platform Azure (multi‑cloud is an added advantage).
• Strong programming expertise in Scala or Python.
• Experience with Hadoop ecosystem tools such as Spark, Hive, Kafka, Flink, NiFi, and Airflow.
• Working knowledge of NoSQL and MPP data platforms like MongoDB, Cassandra, Redshift, or BigQuery.
• Understanding of data integration, data wrangling, analytics pipelines, and cloud data services.
• Strong understanding of IAM, data security, and cloud-based data platform services.

Additional skills

• Experience with ETL tools such as Informatica or Talend and relational databases.
• Knowledge of data governance tools and processes (Collibra, Alation, lineage, cataloging).
• Exposure to messaging frameworks like ActiveMQ, RabbitMQ, and microservices architecture.
• Experience in performance tuning and optimization of data pipelines.
• CI/CD practices including cloud infrastructure provisioning and automated deployment pipelines.
• Relevant cloud or big data certifications along with Gen AI experience.

Benefits of Working Here

• Gender-Neutral Policy
• 18 paid holidays throughout the year.
• Generous parental leave and new parent transition program
• Flexible work arrangements
• Employee Assistance Programs to help you in wellness and well-being.