Role: Senior Data Engineer.
Location: Cincinnati, OH. (Onsite)
Duration: 1 Year(with possible extension)
Key job responsibilities
Our Client is seeking a Data Engineer to be part of Accounting and Data Analytics team. Our team builds and maintains data platform for sourcing, merging and transforming financial datasets to extract business insights, improve controllership and support financial month-end close periods. As a contributor to a crucial project, you will focus on building scalable data pipelines, optimizations of existing pipelines and operation excellence.
Qualifications-
8+ yrs experience as Data Engineer or in a similar role
Experience with data modeling, data warehousing, and building ETL pipelines
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
Extensive experience working with AWS with a strong understanding of Redshift, EMR, Athena, Aurora, DynamoDB, Kinesis, Lambda, S3, EC2, etc.
Experience with coding languages like Python/Java/Scala
Experience in maintaining data warehouse systems and working on large scale data transformation using EMR, Hadoop, Hive, or other Big Data technologies
Experience mentoring and managing other Data Engineers, ensuring data engineering best practices are being followed
Experience with hardware provisioning, forecasting hardware usage, and managing to a budget.
Exposure to large databases, BI applications, data quality and performance tuning
Basic Qualifications
8+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with SQL
Preferred Qualifications
8+ years of data engineering experience
Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Never miss an opportunity! Create an alert based on the job you applied for.