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Title:  Data Analyst - L4

Requisition ID:  45632
City:  Jakarta
Country/Region:  ID
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

Job Description

As the Data engineer in the Fulfillment Data Engineering team, you will work closely with data modelers, product analytics, product managers, software engineers and business stakeholders across the SEA in understanding the business and data requirements. You will be responsible for building and managing the data asset, including acquisition, storage, processing and consumption channels, and using some of the most scalable and resilient open source big data technologies like Flink, Airflow, Spark, Kafka and more on cloud infrastructure. You are encouraged to think out of the box and have fun exploring the latest patterns and designs.
 

The Day-to-Day Activities

  • Developing scalable and reliable ETL pipelines and processes to ingest data from a large number and variety of data sources
  • Developing a deep understanding of real-time data productions availability to inform on the real time metric definitions
  • Maintaining and optimizing the performance of our data analytics infrastructure to ensure accurate, re‐liable and timely delivery of key insights for decision making
  • Design and deliver the next-gen data lifecycle management suite of tools/frameworks, including in‐gestion and consumption on the top of the data lake to support real-time, API-based and serverless use-cases, along with batch as relevant

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Must Have

  • At least 5+ years of relevant experience in develop‐ing scalable, secured, distributed, fault tolerant, re‐silient & mission-critical Big Data platforms.
  • Proficiency in at least one of the programming languages Python, Scala or Java.
  • Strong understanding of big data and related technologies like Flink, Spark, Airfl ow, Kafka etc.
  • Experience with different databases – NoSQL, Columnar, Relational.
  • You have a hunger for consuming data, new data technologies, and discovering new and innovative solutions to the company's data needs
  • You are organized, insightful and can communicate your observations well, both written and verbally to your stakeholders to share updates and coordinate the development of data pipelines
     

The Nice-to-Haves

  • You have a degree or higher in Computer Science, Electronics or Electrical Engineering, Software Engineering, Information Technology or other related technical disciplines.
  • You have a good understanding of Data Structure or Algorithms or Machine Learning models.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

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We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, caste, creed, religion, gender, marital status, age, ethnic and national origin, gender identity, gender expression, sexual orientation, political orientation, disability status, protected veteran status, or any other characteristic protected by law.

Wipro is committed to creating an accessible, supportive, and inclusive workplace. Reasonable accommodation will be provided to all applicants including persons with disabilities, throughout the recruitment and selection process. Accommodations must be communicated in advance of the application, where possible, and will be reviewed on an individual basis. Wipro provides equal opportunities to all and values diversity.

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