Senior Associate Data Engineer L1
- Contract Length: 6 Months
- Location: East Coast OR Knoxville, Tennessee
- Target Start Date: Immediately
- Location: East Coast preferred- PS office locations OR Knoxville, TN (client site)- Atlanta, Arlington, Boston, Chicago, Minneapolis, Dallas, Houston
- Interview Process: 2-3 rounds
- About the role: job description attached
Raise is currently hiring a Senior Associate Data Engineer on behalf of our client. They’re expanding their team to meet growing needs, making this a unique opportunity to work with an industry leader. Our Client is a technology company that combines decades of industry expertise with next-generation AI technology that helps organizations reinvent how they build, operate and deliver by pairing human ingenuity with agentic systems that scale intelligence across the enterprise.
Description
The Associate People Senior Associate in Data Engineering, 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
Qualifications
- 3 to 6 years with Minimum 3 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
- 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
- Education and Certifications
- 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
- Cloud data specialty and other related Big data technology certifications
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