Job Seekers, Please send resumes to resumes@hireitpeople.com

• Seeking an Cloud Data Engineer that will assist in maintaining, and monitoring infrastructure as well as build or assist in building data transformation pipelines.
• Candidate must have prior experience with AWS or Azure and extensive knowledge of python for ETL development. Additional Cloud - based tools experience is important (see skills section)

Additional desired skills include experience with the following:

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Extensive experience leveraging Python to build data transformation pipelines (ETL) and experience with libraries such as pandas and numpy.
• Experience with pyspark.
• Experience using AWS Glue and EMR to construct data pipelines
• Experience building and optimizing big data data pipelines, architectures, and datasets.
• 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 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 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, Statistics, Informatics, Information Systems or another quantitative field.

They should also have experience using the following software/tools:

• Experience with big data tools: Spark, Kafka,etc.
• Experience with relational SQL and NoSQL databases, including Postgres. Experience with data pipeline and workflow management tools: AWS Glue, Airflow,etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, etc.

Experience required: 5-8 Years