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Data Engineer

This role is for an Entry Level Data Engineer, offering a contract of unspecified length with a pay rate of "unknown". Key skills include Python, SQL, Hadoop, Spark, ETL processes, and knowledge of cloud platforms. Experience in data governance is required.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
280
🗓️ - Date discovered
February 20, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Cincinnati, OH
🧠 - Skills detailed
#Indexing #"ETL (Extract #Transform #Load)" #Spark (Apache Spark) #Hadoop #Kafka (Apache Kafka) #MongoDB #Cloud #Python #NoSQL #Amazon Redshift #Snowflake #Redshift #Programming #Data Engineering #Data Lineage #Databases #SQL (Structured Query Language) #Compliance #BigQuery #Database Management #Data Modeling #Data Pipeline #MySQL #Big Data #dbt (data build tool) #Database Design #PostgreSQL #Data Quality #Data Governance
Role description
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Encore Talent Solutions has partnered with a client in staffing multiple Data Engineers to a cohort.

Job Description:

A junior data engineer is an entry-level data professional who is responsible for designing, building, and maintaining data pipelines and systems. They work closely with Product Owners and Analysts to ensure that data is easily accessible and of high quality. Junior data engineers typically have less experience than data engineers and are expected to work under the guidance of experienced engineers.

Job Summary:

We are seeking a highly motivated and detail-oriented Entry Level Data Engineer to join our dynamic team. The successful candidate will assist in gathering requirements, curating data elements and documenting data lineage in specified data repositories within the bank. This entry-level position offers an excellent opportunity to gain hands-on experience in the field of data engineering and work closely with experienced professionals.

Core Skills

  1. Programming Languages

Proficiency in programming languages such as Python, SQL.

  1. Big Data Technologies

Experience with big data technologies such as Hadoop, Spark, Kafka, and Flink.

Familiarity with data warehousing solutions like Amazon Redshift, Google BigQuery, and Snowflake

  1. Database Management

Strong understanding of relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).

Skills in database design, indexing, and query optimization

  1. Data Modeling

Ability to design and build data models to support business requirements.

Experience with data modeling tools and techniques

  1. ETL Processes

Knowledge in Extract and Load (EL) processes and transform tool DBT

Ability to develop and maintain ETL workflows

  1. Cloud Platforms

Knowledge of cloud platforms such as Snowflake

Experience with cloud-based data services and infrastructure

  1. Data Governance

Understanding of data governance principles and best practices.

Ability to implement data governance frameworks to ensure data quality and compliance