Data Engineer

Senior Associate Data Engineer L1 Pay Rate: $76.90/hour, depending on experience Contract Length: 6 Months Location: East Coast OR Knoxville, Tennessee Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we're a certified B Corporation and donate 10% of our profits to charity. Note: The primary pay rate is based on W2 classification; however, we will also consider applications from candidates interested in an INC classification, where applicable. 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 Looking for meaningful work? We can help! We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities. We have a dedicated webpage for accommodations where you can learn more about what we offer and request accommodation: In order to submit candidates for roles, our clients will sometimes require personal information to confirm the identity of applicants and their legal status to work. Raise will never ask you for personal or banking information unless you have been selected for a job. If you are ever unsure about the legitimacy of this or any other Raise job posting (or have any other questions), please contact us at View phone number on click.appcast.io or View email address on click.appcast.io. #USVM #J-18808-Ljbffr