Senior Data Architect
1 week ago
About Tredence
Tredence is a global data science solutions provider that empowers businesses to unlock value from their data. Founded in 2013, the company has grown to become a leader in AI-powered data solutions. Headquartered in San Jose, California, Tredence has a strong presence in the US, Canada, and the UK, with plans to expand into new markets.
As Tredence celebrates a decade of innovation, we are poised to take our growth to the next level.
We are seeking an experienced Senior Data Engineer to join our team. In this role, you will play a key part in developing modern data warehouse solutions using Databricks and Azure Stack. You will work closely with our DW/BI leads to understand new ETL pipeline development requirements and collaborate with business stakeholders to understand reporting needs.
Key Responsibilities:
• Develop and implement ETL pipelines using Databricks and Azure Data Factory
• Collaborate with cross-functional teams to design and implement data warehouses and data lakes
• Troubleshoot issues and optimize data pipelines for performance
• Work with business stakeholders to understand reporting needs and develop data models to fulfill those needs
• Drive technical discussions with client architects and team members
• Orchestrate data pipelines in scheduler via Airflow
Requirements:
• Bachelor's and/or master's degree in computer science or equivalent experience
• Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture
• Hands-on experience in SQL, Python, and Spark (PySpark)
• Experience in building ETL/data warehouse transformation processes
• Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning, and troubleshooting
• Databricks Certified Data Engineer Associate/Professional Certification (desirable)
• Experience working in Agile methodology
• Strong verbal and written communication skills
• Strong analytical and problem-solving skills with a high attention to detail
Mandatory Skills
Azure Databricks, Pyspark, Azure Data Factory, Azure Data Lake
Job Location - Kolkata
Experience Level - Senior Data Engineer (5 to 8 years), Lead Data Engineer (9 to 12 years)
Expected Joining Time - Immediate to 30 days
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