Genpact is hiring freshers/experience candidate for the post of DG-Assistant Manager- Data Engineering. Details are given below..
Genpact is a global professional services firm that makes business transformation real. Led by our purpose -- the relentless pursuit of a world that works better for people -- we drive digital-led innovation and digitally enabled intelligent operations for our clients. Guided by our experience reinventing and running thousands of processes for hundreds of clients, many of them Global Fortune 500 companies, we drive real-world transformation at scale. We think with design, dream in digital, and solve problems with data and analytics. Combining our expertise in end-to-end operations and our AI-based platform, Genpact Cora, we focus on the details – all 100,000+ of us. From New York to New Delhi, and more than 30 countries in between, we connect every dot, reimagine every process, and reinvent the ways companies work. We know that reimagining each step from start to finish creates better business outcomes. Whatever it is, we’ll be there with you – accelerating digital transformation to create bold, lasting results – because transformation happens here.
Genpact began in 1997 as a business unit within General Electric. In January 2005, Genpact became an independent company to bring our process expertise and unique DNA in Lean management to clients beyond GE, and then in August 2007, we became a publicly-traded company. Since December 31, 2005, we have expanded from 19,000+ employees and annual revenues of $491.90 million to 100,000+ employees and annual revenues of $4.0 billion as of December 31, 2021.
With a startup spirit and 90,000+ curious and courageous minds, we have the expertise to go deep with the world’s biggest brands—and we have fun doing it. Now, we’re calling all you rule-breakers and risk-takers who see the world differently, and are bold enough to reinvent it. Come, transform with us.
Job Summary:
The ML solution Engineer fills a critical data, analytics, technology support, and innovation role for the business analytics and advanced analytics functions within the organization. The Engineer is primarily responsible for end-user product development, deployment in production framework, data analytics technical support as well as leveraging best tools and techniques, and end-user training of new emerging analytics open-source technologies. S/he is also the primary conduit for identifying, researching, and evaluating new and innovative technologies that enhance the organization’s enterprise analytics and advanced analytics capabilities.
Post: DG-Assistant Manager - Data Engineering
Job Responsibilities:
• The ML Data Engineer works both independently and in collaboration with a cross-functional team of Data scientists and solution system architects to effectively develop, deploy, monitor, manage, and support AI/ML models and advanced analytics technology, data infrastructures, and underlying analytics use cases—primarily focused around open-source technologies including cloud infrastructures.
• This individual evaluates short/long-term business needs required to support key business goals and priorities and works to ensure Advanced analytics solutions are built and deployed in an effective and efficient manner on Key Enterprise systems.
• Under the guidance of the Group’s Director and in cooperation with partners in decision science, technology, and data the Engineer will coordinate the development of on-premises and cloud-based analytical non-production and production infrastructure and tools providing computational and statistical capabilities to enhance business results and monetize on key data assets for business decision management solutions.
• The Engineer will be working closely with data scientists, data mining experts, and business partner supporting the design of experiments and analytics, data sampling and mining, verification of data quality and information integrity, and best practices around the development and deployment of predictive/prescriptive models, DevOps operational systems and practices, and data visualization solutions.
• The Engineer has responsibility for advising data scientists, Agile project teams, and solution architects in the integration of analytical models/methods into decision management solutions. The Engineer will assist peers in best practices and in the selection and integration of appropriate tools to support required analytic products in close coordination with the organization’s AI/AutoML analytics, digital intelligence engineers, solution/data architects, data integration developers, and data science community ensuring tight integration of functionality and toolsets.
Educational Qualification:
BE / B.Tech in any stream..
Required Skills:
• A minimum of years of experience in IT and Big data software development is required
• Minimum Predictive Analytics model implementation experience in production environments using ML/DL libraries in any of the libs: TensorFlow, H20, Pytorch, Sci-kit Learn.
• Experiences in designing, developing, optimizing and troubleshooting complex data analytic pipelines and ML model applications using Spark, HDFS and other big data related technologies
• Programming in Python, R using distributed frameworks PySpark, Spark, SparkR, Spark cluster, SparkSQL, Spark Ml.
• Working Knowledge in IDE environment/Tools like Jupyter, R Studio, GitHub, Docker, Jenkins
• Working experience on Apache Airflow
• Solid knowledge of data warehousing such as Hadoop/MapReduce, HIVE, Apache Spark, as well as cloud base data storage: Google Cloud Storage with various formats (Parquet/JSON/Avro, delimited)
• Solid understanding of databases such as DB2, Oracle, Teradata, MySQL, PostgreSQL
Preferred Qualifications & Skills:
• Experience with Linux/Unix required
• Experience in enterprise scale analytic solutions development and deployment with high performance, scalability, availability & reliability.
• Candidate must be a self-starter and creative problem-solver with an innovative and curious mindset.
• Must have a working knowledge of advanced technology uses cases in financial services including machine learning, interactive data visualization, cloud computing, and streaming analytics.
• Strong communication skills and the ability to interact and collaborate with all levels of the organization.
• The ability to recognize pain points within the organization, functional interdependencies and cross-silo redundancies.
• The ability to apply architectural principles, methods, and tools to business challenges
• The ability to visualize and create high-level models that can be used in future analysis to extend and mature the business architecture
• The ability to assist business case creation and realization by aligning business goals to organizational capabilities
• Strong situational analysis and decision-making abilities
• Financial and/or Banking background preferred.
• Exposure to Google Cloud services- GCP or any cloud environment.
• Certified Professional Google Data Engineer preferred
Remuneration : ₹ 4,50,000 - 10,00,000 PA
Experience: Freshers / any experience
Job Location: Bangalore (India)
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Interested candidates apply through the mentioned link.
Headquarters
Genpact Building, DLF City, Phase V, Sector Road, Sector 53, Gurgaon, GURGAON, Haryana, India
