Summary
✨ AI‑Generated
A junior Data Engineer is sought to help build and maintain ETL workflows and data pipelines. The role provides practical experience with SQL databases, cloud data integration, Python automation, multiple data formats, reporting solutions, pipeline monitoring, troubleshooting, testing, and documentation.
Highlights
Entry-level data engineering opportunity with hands-on exposure to ETL pipelines, cloud data integration, SQL, Python, reporting, data quality, and collaboration with experienced engineers.
Description
Roles and Responsibilities
● Assist in designing, developing, and maintaining ETL workflows and
data pipelines using SQL Server, SSIS, and/or Azure Data Factory
(ADF).
● Write and optimize SQL queries for data extraction, transformation,
and loading.
● Support data storage, retrieval, and basic database maintenance in
SQL Server environments.
● Work with different data sources and file formats such as CSV, JSON,
XML, and Parquet.
● Assist in developing and maintaining reporting solutions in
collaboration with BI teams.
● Monitor data pipelines and troubleshoot basic data quality, integration,
and processing issues.
● Assist in identifying and resolving data inconsistencies to maintain data
accuracy and integrity.
● Work with senior data engineers and cross-functional teams to
understand data and reporting requirements.
● Document data pipelines, workflows, data sources, and processes.
● Support automation and data manipulation tasks using Python.
● Participate in testing, debugging, and improving existing data pipelines
and ETL processes.
Required Qualifications
● Bachelor’s degree in Computer Science, Engineering, Information
Systems, or a related field.
● 1+ year of hands-on experience in data engineering, ETL, database
development, or a related role.
● Good understanding of SQL, preferably with SQL Server.
● Basic hands-on experience with ETL tools such as SSIS and/or Azure
Data Factory (ADF).
● Basic programming knowledge in Python for data manipulation and
automation.
● Familiarity with common data formats such as CSV, JSON, XML, and
Parquet.
● Basic understanding of data modeling, relational databases, and
database design concepts.
● Basic exposure to reporting or BI tools such as Power BI and/or
SSRS.
● Good analytical and problem-solving skills.
● Ability to work collaboratively in a team environment and willingness
to learn new technologies.
Preferred Skills
● Basic exposure to Azure Data Factory (ADF) and/or SQL Server
Integration Services (SSIS).
● Familiarity with Power BI or other data visualization/BI tools.
● Some exposure to cloud platforms such as Azure, AWS, or GCP.
● Basic knowledge of Git or other version control systems.
● Basic understanding of Linux/Unix command-line environments.
● Familiarity with data ingestion and integration concepts.
● Basic understanding of data governance, security, and data quality
practices.
● Strong willingness to learn and grow in the field of data engineering.
