Job Description:

Position: Senior Associate Data Engineering

As a Senior Associate L1 in Data Engineering, your role involves translating client requirements into technical designs and implementing components for data engineering solutions. You will leverage a deep understanding of data integration and big data design principles to create custom solutions or implement package solutions. Additionally, you will independently lead design discussions to ensure the overall solution’s health.

Your Impact:

  • Data Ingestion, Integration, and Transformation
  • Data Storage and Computation Frameworks, Performance Optimizations
  • Analytics & Visualizations
  • Infrastructure & Cloud Computing
  • Data Management Platforms
  • Building functionality for data ingestion from multiple heterogeneous sources in batch & real-time
  • Building functionality for data analytics, search, and aggregation

Your Skills & Experience:

  • Minimum of 2 years of experience in Big Data technologies
  • Hands-on experience with the Hadoop stack, including HDFS, Sqoop, Kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, Hive, Oozie, Airflow, and other components required in building end-to-end data pipelines
  • Working knowledge of real-time data pipelines is an added advantage
  • Strong experience in at least one programming language: Java, Scala, or Python (Java preferable)
  • Hands-on working knowledge of NoSQL and MPP data platforms like HBase, MongoDB, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery, etc.
  • Well-versed with data platform-related services on Azure
  • Bachelor’s degree and 4 to 6 years of work experience or any combination of education, training, and/or experience demonstrating the ability to perform the duties of the position

Set Yourself Apart With:

  • Good knowledge of traditional ETL tools (Informatica, Talend, etc.) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands-on experience
  • Knowledge of data governance processes (security, lineage, catalog) and tools like Collibra, Alation, etc.
  • Knowledge of distributed messaging frameworks like ActiveMQ/RabbitMQ/Solace, search & indexing, and Microservices architectures
  • Performance tuning and optimization of data pipelines
  • Cloud data specialty and other related Big data technology certifications

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 with wellness and well-being

A Tip from the Hiring Manager:

Join the team to sharpen your skills and expand your collaborative methods. Make an impact on our clients and their businesses directly through your work.

Company Description:

Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.

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