Big Data Scala- Engineer Jobs in Pune - Deutsche Bank
Job Description
Position Overview
The Engineer designs and develops application code, implements technical solutions, and configures applications in different environments in response to business problems. To meet the requirements of the business, the Engineer actively participates in the design and architecture of the application or its components, investigates and proposes appropriate technologies to be used, promotes re-usability of existing components and contributes to the creation of frameworks. Assists more junior members of the team and controls their work where applicable.
What We’ll Offer You
As part of our flexible scheme, here are just some of the benefits that you’ll enjoy
Your key responsibilities
Hadoop Cloudera distribution – Manager, Navigator
Apache Spark – Streaming , structured streaming, and batch processing.
Big data SQL Engines – Hive & Impala
Scala – Core, Concurrency, Akka Actors
Apache Kafka – Publish , subscribe, partitioning, delivery semantics
HDFS – Access APIs, Operations, CLI
Oracle – SQL, PL/SQL
Nice To Have
Python 3 through the Anaconda distribution
Python Analytics libraries: Numpy, Pandas, Koalas, Arrow, Matplotlob etc
Apache Airflow, Tensorflow, Spark MLib, Scikit
Jupyter Notebooks/Hub
Apache Flink, Flume, Sqoop
Caching Tech – EhCache, Apache Ignite
Cassandra, HBase
How We’ll Support You
The Engineer designs and develops application code, implements technical solutions, and configures applications in different environments in response to business problems. To meet the requirements of the business, the Engineer actively participates in the design and architecture of the application or its components, investigates and proposes appropriate technologies to be used, promotes re-usability of existing components and contributes to the creation of frameworks. Assists more junior members of the team and controls their work where applicable.
What We’ll Offer You
As part of our flexible scheme, here are just some of the benefits that you’ll enjoy
- Best in class leave policy
- Gender neutral parental leaves
- 100% reimbursement under child care assistance benefit (gender neutral)
- Flexible working arrangements
- Sponsorship for Industry relevant certifications and education
- Employee Assistance Program for you and your family members
- Comprehensive Hospitalization Insurance for you and your dependents
- Accident and Term life Insurance
- Complementary Health screening for 35 yrs. and above
Your key responsibilities
Hadoop Cloudera distribution – Manager, Navigator
Apache Spark – Streaming , structured streaming, and batch processing.
Big data SQL Engines – Hive & Impala
Scala – Core, Concurrency, Akka Actors
Apache Kafka – Publish , subscribe, partitioning, delivery semantics
HDFS – Access APIs, Operations, CLI
Oracle – SQL, PL/SQL
Nice To Have
Python 3 through the Anaconda distribution
Python Analytics libraries: Numpy, Pandas, Koalas, Arrow, Matplotlob etc
Apache Airflow, Tensorflow, Spark MLib, Scikit
Jupyter Notebooks/Hub
Apache Flink, Flume, Sqoop
Caching Tech – EhCache, Apache Ignite
Cassandra, HBase
How We’ll Support You
- Training and development to help you excel in your career
- Flexible working to assist you balance your personal priorities
- Coaching and support from experts in your team
- A culture of continuous learning to aid progression
- A range of flexible benefits that you can tailor to suit your needs
Job Particulars
Role engineer core non it
Who can apply Freshers and Experienced (0 to 3 Years )
Hiring Process Face to Face Interview
Employment Type0
Job Id1256948
Job Category Core Technical
Locality Address
State Maharashtra
Country India
About Company
Deutsche Bank
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