Job Description :
Hi, This is Myra from TechnoGen, we are collaborated with US based client and working for different position from past many years and placed many of the consultants. I came across your profile in our database. I am currently looking for a Data Engineer for one our clients. Below is the job description for your review. Please let me know if you would be interested in this position. kindly find the below position and let me know with your interest you can reach me * or else Call me on. Role: Data Engineer Location: Remote Duration: long term Responsibilities for Data Engineer Create and maintain optimal data pipeline architecture. Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using ingestion technics and AWS technologies. In-depth technical knowledge and hands-on experience in the areas of Data Management, BI Architecture, Product Development, RDBMS and non-RDBMS platforms. Work with stakeholders including internal and external to assist with data-related technical issues and support their data infrastructure needs. Keep our data separated and secure across national boundaries through multiple data centers and AWS regions. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems. Qualifications for Data Engineer Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing 'big data' data pipelines, architectures and data sets. Experience with big data tools: Hadoop, Hdfs, Spark, Hive, Sqoop, Kafka, Yarn, Zookeeper etc. Experience in Scala, Python, pySpark, Java, Rest API, Microservices etc. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with structure and unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large disconnected datasets. Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores. Strong project management and organizational skills. Experience supporting and working with cross-functional teams in a very fast dynamic environment. We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science or another quantitative field. They should also have experience using the following software/tools: Experience with relational SQL and NoSQL databases, including redshift, Postgres and Cassandra. Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. Experience with AWS cloud services: EC2, EMR, RDS, Redshift, ECS Experience with stream-processing systems: Kafka, Storm, Spark-Streaming, etc. Familiar with data platform like Cloudera, Hortonworks Kind

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