Senior Associate Data Engineering L2 Job in Publicis Sapient

Senior Associate Data Engineering L2

Location: Bengaluru, India

Department: Engineering Data

Employment Type: Full-Time

About the Role

As a Senior Associate Data Engineering (L2) at Publicis Sapient, you will lead technical solutions that drive digital transformation by building scalable, high-performance data platforms. You ll be responsible for translating business and technical requirements into modern, data-centric solutions using Big Data technologies, cloud services (Azure), and advanced data engineering practices.

Key Responsibilities

• Design and implement data ingestion, integration, and transformation processes from multiple heterogeneous sources in both batch and real-time.
• Build scalable data platforms using Hadoop stack components such as HDFS, Kafka, Spark, Hive, NiFi, Oozie, Airflow, Flink, and Storm.
• Develop real-time analytics, aggregation, and search features to support various data-driven applications.
• Collaborate closely with cross-functional teams on data infrastructure, computation frameworks, and data visualization.
• Apply cloud-native principles and Azure services to build and deploy data pipelines.
• Ensure performance optimization and data pipeline tuning.
• Work with NoSQL and MPP platforms like MongoDB, Cassandra, Redshift, Azure SQL DW, HBase, BigQuery.
• Contribute to infrastructure, automation, and DevOps for data pipelines using CI/CD practices.
• Ensure data governance, lineage, and cataloging using tools like Collibra or Alation.

Required Qualifications

• 6 8 years of professional experience in software/data engineering.
• Minimum of 3 years hands-on experience with Big Data technologies.
• Strong programming expertise in Java (preferred), Scala, or Python.
• Expertise in the Hadoop ecosystem and real-time stream processing tools (Kafka, Pulsar, Spark Streaming, etc.).
• Hands-on experience with Azure data services (e.g., Data Factory, Synapse, ADLS, Databricks).
• Experience working with modern ETL tools (Informatica, Talend, etc.) and traditional RDBMS platforms (Oracle, PostgreSQL, SQL Server, MySQL).
• Bachelor's degree in Computer Science, Engineering, or related field.

Nice to Have

• Certifications in Azure Data Engineer, GCP Big Data, or related cloud specializations.
• Experience with distributed messaging frameworks (ActiveMQ, RabbitMQ, Solace).
• Familiarity with microservices architecture and search technologies (Elasticsearch).
• Performance tuning of distributed data processing systems.
• Exposure to data governance, security, and metadata management.

Benefits and Culture at Publicis Sapient

• Gender-neutral workplace policies
• 18 paid holidays annually
• Generous parental leave + new parent transition support
• Flexible work arrangements
• Access to Employee Assistance Programs (wellness & well-being)
• A dynamic culture focused on learning, creativity, and collaboration