
Skills Required:
✔️ Strong expertise in data, AI, and cloud infrastructure.
✔️ Proficiency in Python, SQL, and basic scripting (Shell/Bash).
✔️ Experience working with Azure Databricks, GCP, or AWS.
✔️ Hands-on experience with Apache Spark, Hive, Hadoop, and Big Data ETL tools.
✔️ Knowledge of Jenkins, JIRA, Bitbucket, Bamboo, Azure DevOps, and Git.
✔️ Strong experience in SQL databases (Oracle, SQL Server, DB2) and NoSQL databases.
Key Responsibilities:
🔹 Develop and maintain scalable data pipelines from multiple data sources.
🔹 Collaborate with cross-functional teams to source, process, and integrate data efficiently.
🔹 Support in designing AI-driven data solutions for business intelligence and automation.
🔹 Partner with stakeholders to manage project risks and track delivery progress.
🔹 Ensure timely execution of project milestones, deadlines, and budgets.
🔹 Troubleshoot, fine-tune, and optimize large-scale data processing jobs for performance.

About CredenceSoft
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