About the Role:

As a Senior Associate L2 in Data Engineering, you will play a key role in developing scalable, resilient, and high-performance big data solutions. You will collaborate with clients and internal teams to translate business needs into technical designs and deliver efficient end-to-end data engineering pipelines on Azure and other cloud platforms.

Your Impact:

• Build robust and scalable data ingestion pipelines from multiple heterogeneous sources—both in batch and real-time.
• Work with data transformation, integration, and analytics to create impactful data products.
• Apply strong performance tuning and optimization techniques to ensure efficient pipeline execution.
• Develop and maintain data storage and computation frameworks, especially with cloud-native services.
• Enable analytics, search, and aggregation functionality to support real-world data applications.
• Ensure cloud infrastructure readiness and deployment, especially on Azure.

This is a role for someone who thrives in fast-paced environments and wants to work on modern data engineering technologies that drive real client impact.

Key Technical Skills:

Big Data, Hadoop, HDFS, Sqoop, Kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, Hive, Oozie, Airflow, Java, Scala, Python, HBase, MongoDB, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery

Requirements:

• Minimum 3 years of hands-on experience in Big Data technologies
• Proficiency in Java, Scala, or Python (Java preferred)
• Experience building and maintaining data pipelines using Hadoop stack tools
• Familiarity with real-time stream processing tools like Kafka, Spark Streaming, Flink
• Working knowledge of NoSQL/MPP databases such as HBase, MongoDB, Cassandra
• Strong experience with Azure data platform services
• Bachelor's degree in a relevant field (or equivalent work experience)
• Understanding of ETL tools (e.g., Informatica, Talend)
• Experience with data governance and tools such as Collibra, Alation
• Knowledge of cloud certifications or willingness to pursue them is a plus
• Exposure to microservices architecture, distributed messaging frameworks, and indexing

Additional Perks & Benefits:

• Gender-neutral and inclusive work environment
• 18 paid holidays annually
• Parental leave policies with flexible transition programs
• Employee wellness and assistance programs
• Flexible work arrangements to support work-life balance

This is a great opportunity for data engineering professionals looking to join a mission-driven global organization at the forefront of digital transformation. If you enjoy working on complex challenges, with cutting-edge tools, and a collaborative team, Publicis Sapient is the place to grow and thrive.