Senior Associate Big Data Engineering - Atlanta, Chicago, Hybrid (4 days) Atlanta

Publicis Groupe • Atlanta, GA

2d • Hybrid

About The Position

This role is a hybrid role - 4 days in the office -Atlanta, Chicago. As a Senior Associate 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.

Requirements

• 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 AWS
• 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

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• Access to ongoing learning and development opportunities.
• Competitive compensation and benefits package.
• Flexibility to support work-life balance.
• Comprehensive health benefits for you and your family.
• Generous paid leave and holidays.
• Wellness program and employee assistance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior