Senior Associate Data Engineering L2
Publicis Sapient · Gurgaon
Collected role description
Role overview
Senior Associate Data Engineering L2 at Publicis Sapient
Responsibilities
- 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.
- 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.
- Collaborate with cross-functional teams to integrate data platforms with business applications.
Required qualifications
- Minimum qualification: Your Skills & Experience : • 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 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.
Preferred qualifications and skills
- Preferred qualification: Set Yourself Apart With: • 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.
Employment details
- Location: Gurgaon [Haryana] [India]
About the employer
- Senior Associate L2 - Data Engineering Publicis Sapient is seeking a Senior Associate L2 - Data Engineering to join our high performing engineering team.
Additional role details
- In this role, you will translate client requirements into scalable data solutions and drive technical design discussions to ensure robust and efficient architectures.
- This role is critical in enabling clients to unlock value through modern data ecosystems and advanced engineering practices.
- Your Impact:
- Develop analytics, aggregation, and search capabilities to enable data-driven decision-making.
- Implement cloud-based data solutions leveraging AWS, Azure, or GCP platforms.
Collected minimum qualification
Your Skills & Experience : • 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 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.
Collected preferred qualification
Set Yourself Apart With: • 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.
Collected experience requirement
Associate Level