Consultant – Hadoop

Job Number: 10867
Location(s): Mumbai, Maharashtra

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Job Details

Overview & Responsibilities

The Enterprise Data Development team is responsible for designing and architecting solutions to integrate information and technology using cutting edge technologies like Hadoop, Oracle in-memory data, HANA & SAP BW.

This position will design and develop solutions for the Data Lake i.e. Hadoop Platform. You will be responsible for integrating information and technology to deliver actionable insights for the enterprise.

Turn information into insight for improved business performance by consulting with architects, solution managers, and analysts to understand business technical needs and deliver solutions
• Design, create, code, and support a variety of Hadoop ETL solutions (potentially including but not limited to: Python, SPARK Scala, Kafka, SAP Data Services, Informatica, Talend, or others)
• Create and maintain development patterns, standards, processes and norms. Analyze existing processes and user development requirements to ensure maximum efficiency.
• Demonstrate the ability to build a work plan or parts of a work plan, as applicable for role.
• Implement small projects and contribute to the implementation of medium/large projects.
• Work with the team to design, code and test ETL solutions and stored procedures for the reference architecture
• Create and support SAP Business Objects Data Services related jobs.
• Diagnose problems and restore service promptly to Data Lake users, operating within agreed SLAs.
• Work with system users, other members of the IT Dept., software vendors, & service providers to resolve problems.
• Carry out assigned activities during system releases and system upgrades.
• Embrace a Continuous Improvement mentality to streamline and eliminate waste in all processes
• Demonstrate initiative and ownership by proactively resolving issues and taking on multiple work plan tasks
• Effective communications with both technical and business communities
• Maintain strong technical skills and share knowledge with team members

Qualifications

 

Education
Minimum Degree Requirements: Bachelors
Preferred Degree Requirements: Bachelors
Preferred Major Area of Study: Engineering

Experience
Minimum years of Hadoop experience required: 3+ years
Preferred years of Data ware house experience: 6-9 years

Specific Job Experience or Skills Needed
Mandatory Skills:
o HDFS, YARN, Pig, Hive, HBase, Zookeeper, Oozie
o Oracle, SQL/PL SQL, No SQL
o Python or Scala
o Strong ETL Experience
o Spark, Spark Streaming
o Kafka
o Data Modeling (Basic Level) experience
o Data Standardization/Canonical Data Format definition
o Data Integration Patterns
o Data Quality Solutions
o Performance Benchmarking and Tuning
o Data Conversion and Migration between different databases

Overview & Responsibilities

The Enterprise Data Development team is responsible for designing and architecting solutions to integrate information and technology using cutting edge technologies like Hadoop, Oracle in-memory data, HANA & SAP BW.

This position will design and develop solutions for the Data Lake i.e. Hadoop Platform. You will be responsible for integrating information and technology to deliver actionable insights for the enterprise.

Turn information into insight for improved business performance by consulting with architects, solution managers, and analysts to understand business technical needs and deliver solutions
• Design, create, code, and support a variety of Hadoop ETL solutions (potentially including but not limited to: Python, SPARK Scala, Kafka, SAP Data Services, Informatica, Talend, or others)
• Create and maintain development patterns, standards, processes and norms. Analyze existing processes and user development requirements to ensure maximum efficiency.
• Demonstrate the ability to build a work plan or parts of a work plan, as applicable for role.
• Implement small projects and contribute to the implementation of medium/large projects.
• Work with the team to design, code and test ETL solutions and stored procedures for the reference architecture
• Create and support SAP Business Objects Data Services related jobs.
• Diagnose problems and restore service promptly to Data Lake users, operating within agreed SLAs.
• Work with system users, other members of the IT Dept., software vendors, & service providers to resolve problems.
• Carry out assigned activities during system releases and system upgrades.
• Embrace a Continuous Improvement mentality to streamline and eliminate waste in all processes
• Demonstrate initiative and ownership by proactively resolving issues and taking on multiple work plan tasks
• Effective communications with both technical and business communities
• Maintain strong technical skills and share knowledge with team members

Qualifications

 

Education
Minimum Degree Requirements: Bachelors
Preferred Degree Requirements: Bachelors
Preferred Major Area of Study: Engineering

Experience
Minimum years of Hadoop experience required: 3+ years
Preferred years of Data ware house experience: 6-9 years

Specific Job Experience or Skills Needed
Mandatory Skills:
o HDFS, YARN, Pig, Hive, HBase, Zookeeper, Oozie
o Oracle, SQL/PL SQL, No SQL
o Python or Scala
o Strong ETL Experience
o Spark, Spark Streaming
o Kafka
o Data Modeling (Basic Level) experience
o Data Standardization/Canonical Data Format definition
o Data Integration Patterns
o Data Quality Solutions
o Performance Benchmarking and Tuning
o Data Conversion and Migration between different databases

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