Data lake engineer

About Us:
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading global information technology, consulting, and business process services company. We harness the power of cognitive computing, hyper-automation, robotics, cloud, analytics and emerging technologies to help our clients adapt to the digital world and make them successful. A company recognized globally for its comprehensive portfolio of services, strong commitment to sustainability and good corporate citizenship we have over 160,000 dedicated employees serving clients across six continents. Together we discover ideas and connect the dots to build a better and a bold new future.
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Wipro is an exciting organization to work for. We ranked as a “Top Employer” as part of the Top Employer Institute annual listings. We were assessed on several key HR practices including Diversity and Inclusion.
Role
:
Data Lake Engineer
Key Responsibilities
Help customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB, NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift
Deliver on-site technical engagements with customers. This includes understanding customer requirements, and creating packaged Data & Analytics service offerings
Proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services
Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementations and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services
Engage with the customer’s business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment
Qualifications
Bachelor’s degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field
Experience of IT platform implementation in a technical and analytical role
Experience of Data Lake/Hadoop platform implementation
Hands-on experience in implementation and performance tuning Hadoop/Spark implementations
Experience Apache Hadoop and the Hadoop ecosystem
Experience with one or more relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, Hcatalog, Solr, Avro)
Experience with one or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, Presto)
Experience developing software code in one or more programming languages (Java, Python, etc.)
Preferred Qualifications Masters or PhD in Computer Science, Physics, Engineering or Math
Hands on experience leading large-scale global data warehousing and analytics projects
Ability to think strategically about business, product, and technical challenges in an enterprise environment
Ability to collaborate effectively across organizations
Understanding of database and analytical technologies in the industry including MPP and NoSQL databases, Data Warehouse design, BI reporting and Dashboard development
Demonstrated industry efficiency in the fields of database, data warehousing or data sciences
Implementing AWS services in a variety of distributed computing, enterprise environments
Customer facing well within the customer’s environment and drive discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigation
Desire and ability to interact with different levels of the organization from development to C-Level executives
Benefits
:
You will receive a competitive salary, a generous benefits package, training, and development, as well as an exciting career within a fast paced and dynamic business. Your benefits include
Contributory pension of up to 5%
Extra holiday purchase
4x life insurance policy
Private medical insurance (50)
Equal Opportunities:
Wipro is an advocate for positive change and conscious inclusion. As a global employer, we strive to create a diverse Wipro family by remaining committed to the development of our culture, diversity, equality, and inclusion in the workplace.