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Urgent! IN-Manager_Data Engineer _Data and Analytics _Advisory _Bangalore Job Opening In Kalhalli – Now Hiring PwC
Description
& Summary: We are looking for a seasoned Snowflake Data Architect to lead the design and implementation of scalable, high-performance data solutions.Responsibilities:
You will work on: · Architect end-to-end data solutions using Snowflake, ensuring scalability, performance, and cost-efficiency.
· Define and enforce best practices for data modeling, DBT development, and SQL optimization.
· Write efficient and scalable SQL queries for data extraction and reporting.
· Collaborate with cross-functional teams to translate business requirements into robust data architectures.
· Lead the design of data pipelines and workflows using Airflow and Python.
· Ensure data quality, integrity, and governance across the pipeline.
· Provide technical leadership and mentorship to data engineers and analysts.
· Optimize performance and cost of Snowflake workloads.
· Oversee legacy system integration and migration (e.g., Oracle, DB2, Teradata) into modern data platforms.
· Evaluate and integrate cloud-native services from Azure or GCP to enhance data capabilities.
Primary Skills: · Snowflake (Architecture, Performance Tuning, Security, Cost Optimization) · SQL (Advanced Querying, Optimization, Standards Enforcement) · Data Modelling (Dimensional, Normalized, Hybrid Models) · DBT (Design Patterns, Modularization, Testing) Secondary Skills: · Airflow (Workflow Design and Orchestration) · Python (Advanced Scripting, Data Processing) · CI/CD (Automation, GitOps, DevOps for Data) · Oracle, DB2, Teradata (Legacy System Understanding) · Cloud Platforms: Azure or GCP (Data Services, Storage, Compute)
Mandatory skill sets:
Snowflake SnowPro Core certification Snowflake SnowPro Advanced – Data Architect certification
Preferred skill sets:
Exposure to DBT for data transformations Analytical mindset with strong problem-solving ability
Years of experience required:
Experience: 8 – 12 Years
Education qualification:
o BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)
Education Degrees/Field of Study required: Master of Engineering, Bachelor of Technology, Master of Business Administration, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications Required SkillsData Engineering, Python (Programming Language), Structured Query Language (SQL)Optional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 32 more}Desired Languages Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date✨ Smart • Intelligent • Private • Secure
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Unlock Your IN Manager_Data Potential: Insight & Career Growth Guide
Real-time IN Manager_Data Jobs Trends in Kalhalli, India (Graphical Representation)
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Great news! PwC is currently hiring and seeking a IN Manager_Data Engineer _Data and Analytics _Advisory _Bangalore to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at PwC adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a IN Manager_Data Engineer _Data and Analytics _Advisory _Bangalore Jobs India varies, but the pay scale is rated "Standard" in Kalhalli. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
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