Senior Associate - Data Engineering Level 2

Senior Associate Data Engineering Level 2

The Senior Associate People Senior Associate L2 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution.

Your Impact:

Data Ingestion, Integration and Transformation

Data Storage and Computation Frameworks, Performance Optimizations

Analytics & Visualizations

Infrastructure & Cloud Computing

Data Management Platforms

Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time

Build functionality for data analytics, search and aggregation.

Your Skills & Experience:

Overall experience of 5.5 years with Minimum 4 years of relevant experience in Big Data technologies

Hands-on experience with the Hadoop stack HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline. Working knowledge on real-time data pipelines is added advantage.

Strong experience in at least of the programming language Java, Scala, 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 and working knowledge with data platform related services on Azure

Bachelor's degree and year of work experience of 6 to 8 years or any combination of education, training and/or experience that demonstrates 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 on data governance processes (security, lineage, catalog) and tools like Collibra, Alation etc

Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Micro services 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 in 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