Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: IN_Manager_Databricks_Data & Analytics_Advisory_PAN India.
India Jobs Expertini

Urgent! IN_Manager_Databricks_Data & Analytics_Advisory_PAN India Job Opening In Hyderabad – Now Hiring PwC

IN_Manager_Databricks_Data & Analytics_Advisory_PAN India



Job description

Description

: · Analyses current business practices, processes, and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics Services.

· Provide technical leadership and thought leadership as a senior member of the Analytics Practice in areas such as data access & ingestion, data processing, data integration, data modeling, database design & implementation, data visualization, and advanced analytics.

· Engage and collaborate with customers to understand business requirements/use cases and translate them into detailed technical specifications.

· Develop best practices including reusable code, libraries, patterns, and consumable frameworks for cloud-based data warehousing and ETL.

· Maintain best practice standards for the development or cloud-based data warehouse solutioning including naming standards.

· Designing and implementing highly performant data pipelines from multiple sources using Apache Spark and/or Azure Databricks · Integrating the end-to-end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained · Working with other members of the project team to support delivery of additional project components (API interfaces) · Evaluating the performance and applicability of multiple tools against customer requirements · Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints.

· Integrate Databricks with other technologies (Ingestion tools, Visualization tools).

· Proven experience working as a data engineer · Highly proficient in using the spark framework (python and/or Scala) · Extensive knowledge of Data Warehousing concepts, strategies, methodologies.

· Direct experience of building data pipelines using Azure Data Factory and Apache Spark (preferably in Databricks).

· Hands on experience designing and delivering solutions using Azure including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Cosmos DB, Azure Stream Analytics · Experience in designing and hands-on development in cloud-based analytics solutions.

· Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required.

· Designing and building of data pipelines using API ingestion and Streaming ingestion methods.

· Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential.

· Thorough understanding of Azure Cloud Infrastructure offerings.

· Strong experience in common data warehouse modelling principles including Kimball.

· Working knowledge of Python is desirable · Experience developing security models.

· Databricks & Azure Big Data Architecture Certification would be plus · Must be team oriented with strong collaboration, prioritization, and adaptability skills required

Mandatory skill sets:

Azure Databricks

Preferred skill sets:

Azure Databricks

Years of experience required:

8-12 Years

Education qualification:

BE, B.Tech, MCA, M.Tech

Education

Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration), Bachelor of EngineeringDegrees/Field of Study preferred:

Certifications

Required Skills

Databricks Platform

Optional Skills

Accepting 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 Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date


Required Skill Profession

Other General



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your IN_Manager_Databricks_Data Analytics_Advisory_PAN Potential: Insight & Career Growth Guide