Data Engineer

job summary:

The Principal Data Engineer has the responsibility of preparing data for operational or analytical uses and delivering data engineering capabilities for the organization. The ideal candidate must understand different approaches to data architectures, and applications to handle various data types (such as structure and un structured data) and a variety of big data and cloud technologies, such as data ingestion and processing frameworks.

location: Indianapolis, Indiana

job type: Contract

salary: $72 - 77 per hour

work hours: 8am to 5pm

education: Bachelors



responsibilities:

The data engineer role will be responsible for building data pipelines to bring together information from different data source systems. Integrating, consolidating and cleanse data and structuring it for use in data science and data driven applications such as analytics or ML applications. You will make data easily accessible and strive to optimize the organization's data ecosystem and maintain the business's identified data quality standards.

qualifications:

Required Skills:

- Bachelor's degrees in applied mathematics, computer science, physics or related engineering field

- Master's degrees in computer science or computer engineering a plus

- Skilled in high level programming languages such as C#, Java, Python, R, Ruby, Scala and SQL

- Knowledge of using ETL tools and REST-oriented APIs for creating and managing data integration jobs

- Knowledge of data warehouses and data lakes technologies and practices

- Knowledge of NoSQL databases

- Knowledge of and experience using data modeling techniques and tools

-Experience with creating and communicating technical documentation for data architectures and designs

skills: - Knowledge of and experience in designing and developing data pipelines workflows

- Knowledge of and experience with relational database such as MySQL, PostgreSQL, Oracle etc.

- Knowledge of Lambda architecture for unified data pipelines for batch and real-time processing

- Knowledge of and ability to adhere to quality and governance policies

- Experience with monitoring and optimizing data performance

- Knowledge of Data Quality Management practices

- Experience using Business intelligence (BI) platforms, such as MS PowerBI and the ability to configure them

- Ability to work with the interactive dashboards BI platforms use

- Basic understanding of machine learning and data scientist

- Knowledge of big data technologist such as: Hadoop, Spark, Hive, Redshift, Snowflake,

- Knowledge of and experience utilizing cloud based data technologies such as: MS Data Factor, Synapse Data Engineering, Synapse Data Science, Synapse Data Warehousing, MS One Lake

- Strong communication and Collaboration skills

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).

This posting is open for thirty (30) days.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.