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PwC

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3.4

based on 8.7k Reviews

1937 PwC Jobs

Senior Associate Hadoop Developer

Pricewaterhouse Coopers Private Limited

3.4

based on 8.7k Reviews

2-7 years

Bangalore / Bengaluru

1 vacancy

Senior Associate Hadoop Developer

PwC

posted 12d ago

Job Role Insights

Flexible timing

Key skills for the job

SAP CO Python Oracle SAP Business Intelligence Application Support Database Administration

+ 4 more

Job Description

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 purposeled and valuesdriven 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 .

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law.

We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm s growth.

To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Responsibilities

67+ 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.
67+ 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 largescale 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.