Senior Associate_Hadoop Developer

Job highlights

• 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).
• Experience in application support and maintenance of spark applications.
• Required Skills. Apache Hadoop,PySpark,Python (Programming Language).

A 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 about us

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:

Exposure to Large enterprise data

Experience in application support and maintenance of spark applications

Experience in optimize and tune the performance to handle large and medium scale data volume with spark

Experience in performance tuning techniques for large-scale data processing

Experience working with Continuous Integration/Continuous Deployment tools

Experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC)

Adherence to clean coding principles: Candidates should be capable of producing code that is devoid of bugs and can be easily understood and replicated by other developers

Strong teamwork abilities: developers typically collaborate closely with data scientists and other backend developers

Therefore, candidates should exhibit excellent communication and collaboration skills

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:

Tech / M

Education (if blank, degree and/or field of study not specified)

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

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Apache Hadoop, PySpark, Python (Programming Language)

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date