Data Engineer

HKA Enterprises; East Hartford (CT); Presencial; USD 90.000 - 130.000; Jornada completa

Descripción de la vacante

HKA Enterprises, Inc. is seeking a software/data engineer to support data ingestion, transformation, and distribution to end users.

The role involves requirements analysis, design and development of process flows, unit and integration tests, and updating process documentation. Responsibilities include building scalable data solutions, real-time and batch data movement, and maintaining a robust data warehouse architecture across SQL databases.

Formación

• Proficient in Python, SQL, PL/SQL; VB experience helpful.

Responsabilidades

• Design and develop ETL processes transforming raw data into SQL databases.
• Build data pipelines for real-time and batch data across multiple sources.
• Collaborate with BI team to design data warehousing architecture.
• Develop database objects like tables, views, stored procedures.

Conocimientos

Python

SQL

PL/SQL

VB

Databricks

Azure Synapse

HVR Data Replication

Herramientas

Azure Databricks

Descripción del empleo

The Opportunity:

We are seeking a software engineer/developer or ETL/data integration/big data developer with experience in projects emphasizing data processing and storage. This person will be responsible for supporting the data ingestion, transformation, and distribution to end consumers. Candidate will perform requirements analysis, design/develop process flow, unit and integration tests, and create/update process documentation.

• Work with the Business Intelligence team and operational stakeholders to design and implement both the data presentation layer available to the user community, as well as the underlying technical architecture of the data warehousing environment.
• Develop scalable and reliable data solutions to move data across systems from multiple sources in real time as well as batch modes.
• Design and develop database objects, tables, stored procedures, views, etc.
• Independently analyze, solve, and correct issues in real time, providing problem resolution end-to-end
• Design and develop ETL Processes that will transform a variety of raw data, flat files, xl spreadsheets into SQL Databases
• Understands the concept of Data marts and Data lakes and experience with migrating legacy systems to data marts/lake
• Uses additional cloud technologies (e.g., understands concept of Cloud services like Azure SQL server)
• Maintain comprehensive project documentation
• Aptitude to learn new technologies and the ability to perform continuous research, analysis, and process improvement.
• Strong interpersonal and communication skills to be able to work in a team environment to include customer and contractor technical, end users, and management team members.
• Manage multiple projects, responsibilities and competing priorities.

Requirements Experience Needed:

• Programming languages, frameworks, and file formats such as: Python, SQL, PLSQL, and VB
• Database platforms such as: Oracle, SQL Server, MySQL
• Big data concepts and technologies such as Synapse & Databricks
• AWS and Azure cloud computing
• HVR data replication