Senior Associate_Hadoop Developer_Advisory Corporate_Advisory_Bangalore Millenia

Description

& SummaryA career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.

Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more .

Responsibilities :

6-7+ years of Experience in Hadoop or any Cloud Bigdata components (specific to the Data Engineering role), Hadoop hands on (airflow, oozie, hive, hdfs, sqoop, pig, map, reduce )

• 4+ years of Exp in Spark (Spark Batch, Streaming, Mlib etc). Candidates should possess proficiency in utilizing the Apache Spark framework.
• 6-7+ years of experience in Python programming language.
• 4+ years of experience with pyspark data transformation (json,csv,rdbms,stream) pipeline design , development and deployment with kubernate / onprem platform (not cloud based).
• 2+ years of experience in designing and implementing data workflows with Apache Airflow.
• Kafka or equivalent Cloud Bigdata components (specific to the Data Engineering role)
• Exposure in Oracle, MySql, SQL Server, DB2, Teradata, SPARK SQL, POSTGRES SQL, Spark SQL
• Unix / Shell Scripting experience.
• Cloud technologies GCP preferable.

Additional Requirements :

Good To Have : No Sql, druid, Elasticsearch, google big query

Mandatory skill sets :

Hadoop, Pyspark, Python

Preferred skill sets :

Hadoop, Pyspark, Python

Years of experience required :

4 - 8

Education qualification :

B.Tech / M.Tech / MBA / MCA

Education

Degrees / Field of Study required : Master of Engineering, Master of Business Administration, Bachelor of EngineeringDegrees / Field of Study preferred :

Certifications

Required Skills

Apache Hadoop, PySpark, Python (Programming Language)

Optional Skills

Desired Languages

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date