4P Consulting Inc
Data Engineer
Location: [Birmingham]
Contract- 3 years Qualifications Bachelor's degree
in Computer Science, Information Technology, or a related field. 5+ years
of experience working with
data in an enterprise environment . 5+ years
of experience with
SQL queries and Python . Proven experience with
Power BI
and
Oracle databases . Strong understanding of
data modeling, ETL processes, and data warehousing . Excellent
problem-solving skills
and attention to detail. Strong
communication and collaboration
skills. Ability to work
independently and as part of a team . Key Responsibilities Design, develop, and maintain scalable data pipelines
and systems. Collaborate with
cross-functional teams
to understand data requirements and deliver solutions. Optimize and
troubleshoot SQL queries
for performance and efficiency. Develop and maintain
ETL processes
using
Python . Integrate and
manage data from various sources , including
Oracle databases . Create and maintain
reports and dashboards
using
Power BI . Ensure
data quality, integrity, and security . Perform
data visualization and analysis
to support business decisions. Stay up-to-date with the
latest industry trends and technologies . Preferred Qualifications Experience with
cloud platforms
such as
AWS, Azure, or Google Cloud . Knowledge of
big data technologies
like
Hadoop, Spark, or Kafka . Familiarity with
data governance and compliance standards .
Location: [Birmingham]
Contract- 3 years Qualifications Bachelor's degree
in Computer Science, Information Technology, or a related field. 5+ years
of experience working with
data in an enterprise environment . 5+ years
of experience with
SQL queries and Python . Proven experience with
Power BI
and
Oracle databases . Strong understanding of
data modeling, ETL processes, and data warehousing . Excellent
problem-solving skills
and attention to detail. Strong
communication and collaboration
skills. Ability to work
independently and as part of a team . Key Responsibilities Design, develop, and maintain scalable data pipelines
and systems. Collaborate with
cross-functional teams
to understand data requirements and deliver solutions. Optimize and
troubleshoot SQL queries
for performance and efficiency. Develop and maintain
ETL processes
using
Python . Integrate and
manage data from various sources , including
Oracle databases . Create and maintain
reports and dashboards
using
Power BI . Ensure
data quality, integrity, and security . Perform
data visualization and analysis
to support business decisions. Stay up-to-date with the
latest industry trends and technologies . Preferred Qualifications Experience with
cloud platforms
such as
AWS, Azure, or Google Cloud . Knowledge of
big data technologies
like
Hadoop, Spark, or Kafka . Familiarity with
data governance and compliance standards .