We are looking for a
Senior Data Engineer
to join our innovative team! If you're passionate about data engineering, cloud technologies, and big data processing, and have experience working with
SQL, Apache Spark, and Databricks, this opportunity is for you!
Key Responsibilities:
Design, build, and maintain
scalable data processing pipelines .Implement and manage
cloud data storage systems .Collaborate with data scientists and analysts to understand data requirements and provide suitable solutions.Ensure
data quality, integrity, and security .Automate
data ingestion, cleaning, and transformation
processes.Monitor the
performance of data systems
and troubleshoot issues as needed.Optimize the
performance and scalability of Big Data solutions .Work in an agile environment, participating in
sprint planning and reviews .
Required Skills & Experience:
3+ years of experience
in Data Engineering roles.Proficiency in
Python or SQL .Strong
SQL skills
(Joins, Group By, subqueries, temporary tables).Expertise in
Apache Spark and Databricks .Experience with
cloud platforms
(Azure).Familiarity with
data orchestration tools
like Azure Data Factory or Databricks Workflow.Hands-on experience with
DevOps tools
(Azure DevOps, Jenkins, etc.).Strong
critical thinking and problem-solving
skills.Ability to work
individually and in teams
towards common goals.Fluent English
(reading, writing, and conversation).Experience working in
international & multicultural environments
is highly valued.
Nice-to-Have Skills:
Knowledge of
visualization tools
such as Power BI or Grafana.Experience with
Docker and Kubernetes .Understanding of
Agile methodologies .Certifications in
cloud technologies or big data .
If you are
self-driven, results-oriented, and thrive in fast-paced, dynamic environments, we want to hear from you!Apply now or reach out for more details!
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