PwC
Website:
pwc.com
Job details:
A career in our Advisory Acceleration Centre is the natural extension of PwC’s leading class global delivery capabilities. We provide premium, cost effective, high quality services that support process quality and delivery capability in support for client engagements.
At PwC - AC, as an Azure Senior Developer, the candidate will interact with Offshore Manager/ Onsite Business Analyst to understand the requirements and the candidate is responsible for end-to-end implementation of Cloud data engineering solutions.The candidate should have strong experience in Azure cloud using Storage services (Blob, ADLS, PaaS SQL), Azure Data factory and Azure Synapse . Strong in planning and organization skills. Ability to work as cloud developer/lead on an agile team and provide automated cloud solutions.
Years of Experience: Candidates with 2-4 years of hands on experience
Position Requirements
Must Have:
2+ years of experience working in Azure ADLS, Data Bricks, Data Flows, HDInsight, Azure Analysis services
Should be aware of Data Management concepts and Data Modelling
Good knowledge of Big Data frameworks and related technologies - Experience in Hadoop and Spark is mandatory
Should have expertise in extracting data from different source systems like flat files, XML sources, JSON, Parquet files, Big data appliances, RDBMS, etc.
Good knowledge of Big Data frameworks and related technologies - Experience in Hadoop and Spark is mandatory
Hands-on experience with Microsoft Fabric and its components
Proficient in PySpark Notebooks for building scalable data processing pipelines
Strong command over SQL databases and performance tuning for analytical workloads
Solid experience with SparkSQL for complex data transformations and querying
Should have clear understanding of DW lifecycle and contributed in preparing
Detail Level Design document
Unit Test plans
Code review reports
Must have strong sql, understand joins, groups, functions & Stored procedures
Must have experience in Unit and Integration Test creation and verification
Proficient in creating documentation related to Project Architecture, Project end User Manual and Operations Hand off guide
Should have good understanding of Data Migration processes, methods and project lifecycle
Good in Unix Shell Scripting skills
Strong analytical skills and troubleshooting skills
Should be well versed with quality processes and implementation
Excellent communication skills
Strong understanding of Cloud data migration processes, methods and project lifecycle
Good knowledge of Application DevOps tools (Git, CI/CD Frameworks) - Experience in Jenkins or Gitlab with rich experience in source code management like Code Pipeline, Code Build and Code Commit
Good To Have Skills
- Experience integrating Snowflake and Dremio with BI and visualization tools such as Tableau, Power BI, or Qlik
- Knowledge of data integration tools like Informatica, DataStage, or Ab Initio.
- Familiarity with data visualization tools such as Tableau or Qlik.
- Experience with programming languages such as Python, Java, or PySpark.
- Certifications related to cloud data warehousing or Snowflake.
- Cloud - AWS, GCP, Oracle-Cloud
- Business Intelligence - MicroStrategy, Business Objects, Cognos
- Data Appliance - Teradata, Netezza
Additional Skills
- Excellent communication skills, client presence, presentation skills
- People skills, Leadership skills
Professional And Educational Background
- BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA
The Opportunity
When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.
As part of the Data and Analytics Engineering team you will implement cloud data engineering solutions like Enterprise Data Lake and Data hub in AWS. As an Associate you will focus on learning and contributing to projects while developing your skills and knowledge to deliver quality work. This position provides an exciting opportunity to work with advanced technologies and collaborate with diverse teams.
Responsibilities
- Implement cloud-based data engineering solutions using AWS
- Collaborate with diverse teams to achieve project goals
- Enhance technical knowledge through hands-on experience
- Support the development of innovative data solutions
- Analyze and interpret data to inform project strategies
- Contribute to the continuous improvement of processes and methodologies
- Build relationships with team members and stakeholders
- Participate in learning opportunities to advance skills
What You Must Have
- Bachelor's Degree
- 2 years of experience in Cloud data engineering solutions
- Oral and written proficiency in English required
- BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA
What Sets You Apart
- Bachelor's Degree in Engineering, Computer Science, or related field
- Experience in architecting scalable cloud-based data solutions
- Hands-on experience with Snowflake utilities and ETL data pipelines
- Skilled in programming languages like Python or Java
- Knowledge of Big Data frameworks including Hadoop and Spark
- Familiarity with AWS compute and storage services
- Understanding of Cloud data migration processes and lifecycle
- Demonstrating analytical and problem-solving skills
Click on Apply to know more.