Pyspark - Machine Learning

5 days ago

Chennai Tamil Nadu, India Virtusa Full time

7+ years of experience in Big Data with strong expertise in Spark and Scala
Mandatory Skills: Big Data Primarily Spark and Scala
Strong Knowledge in HDFS, Hive, Impala with knowledge on Unix, Oracle, Autosys,
Good to Have : Agile Methodology and Banking Expertise
Strong Communication Skills

Not limited to Spark batch, need Spark streaming experience
No SQL DB Experience : HBase/Mongo/Couchbase
Core Skills: PySpark, Python, SQL
Machine Learning: ML Libraries, Scikit-learn, PySpark Mlib, Statistical Methods, regression, classification, clustering
Bigdata & Cloud: Databricks, Hadoop, Hive, Spark Streaming
Good to have: Scala with Spark, AWS/Azure, GCP bigdata services.
Data Visualization: Tableau/MSTR
Core Skills: PySpark, Python, SQL
Machine Learning: ML Libraries, Scikit-learn, PySpark Mlib, Statistical Methods, regression, classification, clustering
Bigdata & Cloud: Databricks, Hadoop, Hive, Spark Streaming

Good to have: Scala with Spark, AWS/Azure, GCP bigdata services.
Data Visualization: Tableau/MSTR

**About Virtusa**

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.

Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.

Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

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