·
Seeking
a Database Developer to assist in the design and maintenance of various
databases, develop and optimize ETL pipelines and workflows, develop and
optimize SQL scripts and stored procedures to support data conversion,
validation, and ongoing processing needs.

·
At
a high level, the resource will develop, maintain, and optimize enterprise
database solutions and will support data integration, conversion, migration,
reporting, and database performance while ensuring the accuracy, reliability,
and integrity of enterprise data. The resource will also provide production
support and collaborate with cross-functional project teams throughout the
system development lifecycle using Agile methodologies.

Job
responsibilities

·
Design
and maintain various databases, including stored procedures, indexing, and data
models.

·
Develop
and optimize ETL pipelines and workflows using SSIS, Python, PySpark, and SQL
Server.

·
Execute
large-scale data migrations, including cleansing, validation, and
transformation across enterprise systems.

·
Develop
and optimize SQL scripts and stored procedures to support data conversion,
validation, and ongoing processing needs.

·
Build
data ingestion and transformation workflows across raw, staging, curated, and
analytics layers.

·
Build
and maintain various reporting solutions using SSRS and PowerBI.

·
Design
and implement logical and physical data models (ERDs) for various applications.

·
Develop
stored procedures, views, SQL scripts, and other database components supporting
transactional and reporting systems.

·
Provide
production support, including troubleshooting performance issues and on-call
support when needed.

·
Collaborate
with cross-functional teams and participate in Agile ceremonies, development
activities, code reviews, and release cycles.

·
Provide
knowledge transfer.

Desired
Skills

·
10+
years of experience in database development or data engineering.

·
Expertise
in SQL Server, T-SQL and performance tuning.

·
Experience
with ETL tools (SSIS), Python, or PySpark.

·
Strong
background in data modeling and data integration.

·
Experience
with reporting tools (SSRS, PowerBI).

·
Working
knowledge of DevOps tools such as Azure DevOps, GitHub, or Jenkins.

·
Experience
supporting critical applications in financial, government, or legal industries.