Azure Data Engineer - Associate Consultant at KPMG India

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

01 Jul, 26

Salary

0.0

Posted On

02 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Data Factory, Databricks, Azure Datalake, Azure Synapse, Azure SQL, Spark, PySpark, Hive, Python, Scala, SQL, Git, Agile Methodologies, Big Data, ETL, Data Engineering

Industry

Business Consulting and Services

Description

Backend Azure Data Engineers, Full-time About us KPMG is a leading professional services firm comprising about 200,000 professionals who work together to deliver value in more than 154 countries through in-depth industry insights in Audit, Tax & Advisory. The firm recorded more than USD 26.4 billion in revenues in 2017. Job Description Data Engineering is responsible for building required infrastructure for optimal extraction, transformation and loading of data from various data sources. The role also includes tasks related to building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics and leveraging software development life cycle best practices such as agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations. Desired Skills and Experience (Must Have): * Required overall experience of 2 to 4 years for Bangalore , Gurugram or Pune location. * Proficient Experience on designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of Azure data and analytics services – Azure Data Factory, DataBricks,Azure Datalake, Azure Dataflow, Azure Synapse, Azure SQL,Cloud storage, Cloud Functions, Triggers. * Working knowledge of at least one of Spark or PySpark or Hive with fair exposure of Big Data. * Excellent communicator (written and verbal formal and informal) * Azure Certification preferred * Good to have Knowledge and experience in using python for working with data and automating data processing workflows * Minimum of 1+ years of designing and building production data pipelines from data ingestion to consumption within a hybrid big data architecture, using Cloud Native connector, Python, Scala, SQL etc. * Experience using software version control tools (Git). * Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution. * Ability to multi-task under pressure and work independently with minimal supervision. * Must be a team player and enjoy working in a cooperative and collaborative team environment. Desired Skills and Experience (Good to Have): * Data migration experience from legacy systems including Hadoop, Exadata, Oracle Teradata or Netezza * Experience with Data lake, data warehouse ETL build and design Qualification * Completed undergraduate degree with outstanding academic credentials (preferably a technical undergrad degree e.g. Computer Science, Engineering)

Responsibilities

The role involves building infrastructure for the extraction, transformation, and loading of data from various sources. It also includes developing analytical tools and leveraging software development best practices to provide actionable business insights.