IN_Sr. Associate _Azure Databricks Engineer_D&A _Advisory _Pune
PwC Asia
- Pune, Pune, Maharashtra, India
- 4+ years
- Master's degree
- Posted
This job is closed: the employer no longer lists it.
Skills
Required
- Databricks
- PySpark
- Python
- data processing
- Azure
- Data Lake Services
- ADLS
- Data Lake architecture
- data engineering
- analytics
- Unity
- Catalog
- data governance
- Fabric
Preferred
- Handson
- Datalake
- Data Lake and Lakehouse architectures
- data storage
- Medalion Architecture
- Delta Format
- Data Processing and Transformation
- lifecycle
- Data Management
Responsibilities
- Key Responsibilities: 1.
Data Lake and Lakehouse Implementation
- o Design, implement, and manage Data Lake and Lakehouse architectures.
- (Must have) o Develop and maintain scalable data pipelines and workflows.
- (Must have) o Utilize Azure Data Lake Services (ADLS) for data storage and management.
- (Must have) o Knowledge on Medalion Architecture, Delta Format.
- (Must have) 2.
Data Processing and Transformation
- o Use PySpark for data processing and transformations.
- (Must have) o Implement Delta Live Tables for real-time data processing and analytics.
- (Good to have) o Ensure data quality and consistency across all stages of the data lifecycle.
- (Must have) 3.
Data Management and Governance
- o Employ Unity Catalog for data governance and metadata management.
- (Good to have) o Ensure robust data security and compliance with industry standards.
- (Must have) 4.
Data Integration
- o Extract, transform, and load (ETL) data from multiple sources (Must have) including SAP (Good to have), Dynamics 365 (Good to have), and other systems. o Utilize Azure Data Factory (ADF) and Synapse Analytics for data integration and orchestration.
- (Must have) o Performance Optimization of the Jobs.
- (Must have) 5.
Data Storage and Access
- o Implement and manage Azure Data Lake Storage (ADLS) for large-scale data storage.
- (Must have) o Optimize data storage and retrieval processes for performance and cost-efficiency.
- (Must have) 6.
Collaboration and Communication
- o Work closely with data scientists, analysts, and other stakeholders to understand data requirements.
- (Must have) o Provide technical guidance and mentorship to junior team members.
- (Good to have) 7.
Continuous Improvement
- o Stay updated with the latest industry trends and technologies in data engineering and cloud computing.
- (Good to have) o Continuously improve data processes and infrastructure for efficiency and scalability.
- (Must have)
Requirements
- Mandatory skill sets
- Technical Skills: o Proficient in PySpark and Python for data processing and analysis. o Strong experience with Azure Data Lake Services (ADLS) and Data Lake architecture. o Hands-on experience with Databricks for data engineering and analytics. o Knowledge of Unity Catalog for data governance. o Expertise in Delta Live Tables for real-time data processing. o Familiarity with Azure Fabric for data integration and orchestration. o Proficient in Azure Data Factory (ADF) and Synapse Analytics for ETL and data warehousing. o Experience in pulling data from multiple sources like SAP, Dynamics 365, and others. · Soft Skills: o Excellent problem-solving and analytical skills. o Strong communication and collaboration abilities. o Ability to work independently and as part of a team. o Attention to detail and commitment to data accuracy and quality.
Certifications required
- Certification in Azure Data Engineering or relevant Azure certifications. o DP203 (Must have) · Certification in Databricks. o Databricks certified Data Engineer Associate (Must have) o Databricks certified Data Engineer Professional (Good Have) Years of experience required: 4 to 7 Years
- Educational Qualification B.E. / / MCA/ M.E/ MBA/ PGDM.
- All qualifications should be in regular full-time mode with no extension of course duration due to backlogs.
Preferred
- Preferred skill sets
- Handson ETL / Datalake is good to have..
Job Position Title
- IN_Sr.
- Associate _Azure Databricks Engineer_D&A _Advisory _Pune Responsibilities:
