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Senior Data Engineer
2 weeks ago
Publicis Sapient Overview :
We at Publicis Sapient, enable our clients to thrive in Next and to create business value through expert strategies, customer-centric experience design, and world-class product engineering.
In our 20 + years in IT, never before have we seen such a dire need for transformation in every major industry - from financial services to automotive, consumer products, retail, energy, and travel.
- Reimagine the way the world works to help businesses improve the daily lives of people and the world.
Our people thrive because of the belief that it is both our privilege and responsibility to usher our clients and the world into Next.
As Senior Associate L2 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution.
The role requires a hands-on technologist who has strong programming background like Java / Scala / Python, should have experience in Data Ingestion, Integration and data Wrangling, Computation, Analytics pipelines and exposure to Hadoop ecosystem components.
Role & Responsibilities :
Your role is focused on Design, Development and delivery of solutions involving :
- Data Integration, Processing & Governance
- Data Storage and Computation Frameworks, Performance Optimizations
- Analytics & Visualizations
- Infrastructure & Cloud Computing
- Data Management Platforms
- Implement scalable architectural models for data processing and storage
- Build functionality for data ingestion from multiple heterogeneous sources in batch & realtime mode
- Build functionality for data analytics, search and aggregation
Mandatory Experience and Competencies :
Competency :
- Overall 6+ years of IT experience with 4+ years in Data related technologies
- Minimum 4+ years of experience in Big Data technologies and working exposure in at least one cloud platform on related data services (AWS / Azure / GCP)
- 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.
- 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 at least 1 cloud platform, IAM and data security
Competency :
- 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
- CI/CD - Infra provisioning on cloud, auto build & deployment pipelines, code quality
- Cloud data specialty and other related Big data technology certifications
- Strong written and verbal communication skills
- Articulation skills
- Good team player
- Selfstarter who requires minimal oversight
- Ability to prioritize and manage multiple tasks
- Process orientation and the ability to define and set up processes
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