Minimum 2 years of experience in Big Data technologiesHands-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 pipelines. Working knowledge of real-time data pipelines is added advantage.Strong experience in at least the programming language Java, Scala, and Python. Java preferableHands-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 AWSBachelor's degree and year of work experience of 4 to 6 years or any combination of education, training, and / or experience that demonstrates the ability to perform the duties of the positionSet 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 / RabbiMQ / Solace, search & indexing, and Microservices architectures
- Performance tuning and optimization of data pipelines
- Cloud data specialty and other related Big data technology certifications
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.
Additional Information
- 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
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 truly value.
Skills Required
Kafka, Sqoop, hdfs