Posted:1 day ago|
Platform:
On-site
Full Time
You will be responsible for designing, developing, and optimizing data solutions leveraging SQL, Python, and Google Cloud Platform (GCP). You will work closely with business stakeholders to create automated reporting solutions, ensure data integrity, and enable advanced analytics capabilities. This role demands strong problem-solving skills, hands-on coding expertise, and the ability to work in a fast-paced environment.
Responsibilities
Design and develop complex SQL queries, stored procedures, and performance tuning for large datasets.
Build automated reporting solutions and dashboards using Python (Pandas, NumPy, Matplotlib, etc.).
Develop ETL pipelines and data workflows on GCP using services like BigQuery, Cloud Storage, and Dataflow.
Collaborate with data engineers, analysts, and business teams to deliver scalable data solutions.
Ensure data security, compliance, and best practices in cloud environments.
Troubleshoot and optimize data processes for efficiency and reliability.
Qualifications we seek in you!
Minimum Qualifications
Bachelor's degree in Computer Science, Information Technology, or related field.
Strong expertise in SQL (query optimization, stored procedures, indexing).
Hands-on experience in Python for data processing and reporting.
Experience with Google Cloud Platform (BigQuery, Dataflow, Cloud Storage).
Good understanding of data modeling and ETL concepts.
Preferred Qualifications
GCP Professional Data Engineer or Associate Cloud Engineer certification.
Experience with CI/CD pipelines and version control (Git).
Familiarity with visualization tools like Tableau or Power BI.
Strong analytical and problem-solving skills.
Excellent communication and stakeholder management abilities.
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