*Direct Client:* *Data Platform Engineer (Bigdata and **AWS**)*
*Bethesda, MD* *12 Months* *In-Person Interview after a Phone Screen* *Start Date: ASAP* *Rate: $80 - 85/hr all Inc* *Required:* - The ideal candidate for our team is a thinker and a doer: someone who loves algorithms and mathematical precision, but at the same time enjoys implementing real systems, and is motivated by the prospect of doing something never done before. - You will build data pipeline frameworks to automate high-volume and real-time data delivery from various source channels: AWS, GCP, Azure, and a multitude of On-Premise data aggregators. - Heavy use of AWS services such as: Lambda, Glue, Kafka, Kinesis, Elasticsearch, Data Warehouse, Data Lakes, Analytics, Cloud Trail and Cloud Watch. - You will build data APIs that support critical operational and analytical applications. - You will transform complex analytical models into scalable, production-ready solutions. - You will continuously integrate and ship code into our cloud Production environments. - You will work directly with Product Owners and Developers to deliver data products in a collaborative and agile environment. - Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community. *Responsibilities:* - Design, build and launch efficient & reliable data pipelines to move and transform data (both large and small event driven amounts). - Build a platform to run micro ETL batches to process data-sets in near real time. - Perform Proof of Concepts and choose the right technologies to be used. - Intelligently design data models for optimal storage and retrieval. - Builds robust systems with an eye on the long-term maintenance and support of the application. - Drive cross team design and influencing development via technical leadership and mentoring. *Basic Qualifications: * - Degree in Computer Science, Engineering, Mathematics, Physics, or a related field. - 3+ years experience with several of the following services building modern data pipeline solutions : AWS Lambda, Airflow, Kafka, AWS Kinesis Data Streams, Data Warehouse, Data Lakes, Spark, AWS Analytics, AWS Cloud Trail and AWS Cloud Watch. - 3+ years experience developing software solutions to solve complex business problems. - 3+ years experience designing, developing, and implementing data pipelines and applications to stream and process datasets at low latencies. - 3+ years experience developing distributed systems and data architecture. Lambda design and implement batch and stream data processing pipelines. Optimize the distribution, partitioning, and MPP of high-level data structures. - 3+ years with Agile engineering practices *Preferred Qualifications:* - Bachelor’s, Master’s or Ph.D degree in Computer Science or equivalent work experience - 7+ years professional experience in Infrastructure development of multi-threaded, scalable and highly-available distributed systems - Infrastructure Implementation and tuning experience in the big data Ecosystem (HDP & HDF (Horton), Amazon EMR, Hadoop, Spark, R, Presto, Hive), database (MariDB, mysql, postgres, Microsoft SQL Server), NoSQL (Amazon DynamoDB, HBase, MongoDB, Couchbase, Cassandra), data warehousing (Netezza, dashDB) or data migration and integration. - Infrastructure Implementation Experience with Python, Scala or Java Experience working in a public cloud environment, particularly AWS Familiarity with cloud warehouse tools like Snowflake Experience with messaging/streaming/complex event processing tooling and frameworks such as Kinesis, Kafka, Spark Streaming, Flink, Nifi, etc. - Infrastructure Implementation Experience with AWS technologies like Redshift, S3, EC2, Data Pipeline, & EMR - Infrastructure Implementation Experience building RESTful API’s to enable data consumption Familiarity with build tools such as Terraform or CloudFormation and automation tools such as Jenkins or Circle CI Familiarity with practices like Continuous Development, Continuous Integration and Automated Testing Experience in Agile/Scrum application development - Infrastructure Implementation Experience In command of setup, configuration and security for Hadoop clusters using Kerberos, Ranger and Ranger KMS. - Infrastructure Implementation Experience in implementing Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our customers build DL models. - Infrastructure Implementation Experience in implementing SparkML and Amazon Machine Learning (AML) to help our customers build ML models. - Infrastructure Implementation Experience with Machine Learning and/or Artificial Intelligence algorithms and libraries, such as TensorFlow. - Infrastructure Implementation Experience in leading teams in code development and balancing feature requests with feasibility constraints. Warm Regards, Pavan Pisupati | Sr. Recruiter | *AQUINAS**CONSULTING* <http://www.aquinasconsulting.com/> 203-647-7964 | ppisup...@aquinasconsulting.com | Connect with me on LinkedIn <http://www.linkedin.com/in/ppisupati> -- You received this message because you are subscribed to the Google Groups "CorptoCorp" group. To unsubscribe from this group and stop receiving emails from it, send an email to corptocorp+unsubscr...@googlegroups.com. To post to this group, send email to corptocorp@googlegroups.com. Visit this group at https://groups.google.com/group/corptocorp. For more options, visit https://groups.google.com/d/optout.
