Senior Associate Data Engineering L2 DE – Big Data Azure
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Posted: 1 day agoJob Applicants: 51Job Views: 246
The Senior Associate People Senior Associate L2 in Data Engineering, you will translate client requirements into technical design, and implement components for a data engineering solutions. Utilize a 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
Qualifications
Your Skills & Experience:
- Minimum 3 years of 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 pipelines. Working knowledge of real-time data pipelines is added advantage.
- Strong experience in at least the programming language Java, Scala, and 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
- Bachelors 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 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
Role:Data Engineer
Salary: Not Disclosed by Recruiter
Industry:IT Services & Consulting
Functional AreaEngineering - Software & QA
Role CategorySoftware Development
Employment Type:Full Time, Permanent
Key Skills
hivescalaoozieamazon redshiftbig data technologiesmicrosoft azureapache stormapache flinknosqlmicroservicesspark streamingjavaapache nifipostgresqlsparkcassandrakafkamysqlbigquerybig datadata integrationmongodbhbase
Skills highlighted with ‘‘ are preferred keyskills
Education
UG:B.Tech/B.E. in Any Specialization
PG:Any Postgraduate
Company Profile
Sapient (publicissapient)
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.
Company Info
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Contact Company:Sapient (publicissapient)
Address:Bagmane Constellation Business Park, Virgo Block Wing B, 4th to 11th Floor, Doddanekundi Village, K.R.Puram Hobli,, Bangalore East Taluk Marathahalli Ring Road,, BANGALORE, Karnataka, India
Reference Id:2024-48256