Data Engineering Lead

4 weeks ago

Bengaluru, Karnataka, India Conduent Business Services Full time

Data Engineering Lead


Job Overview


At Conduent Business Services, we are seeking a skilled Data Engineering Lead to join our Analytics Practice. This role requires a broad range of skills, including data acquisition, transformation, loading, and processing from diverse data sources. The successful candidate will be responsible for designing and developing efficient data pipelines, working with structured and unstructured data, and supporting advanced analytics and machine learning initiatives in a big data environment.


Responsibilities


  • Engineer a modern data pipeline to collect, organize, and process data from various sources.
  • Perform data management tasks, such as data profiling, assessing data quality, and writing SQL queries to extract and integrate data.
  • Develop efficient data collection systems and strategies for obtaining high-quality data from different sources.
  • Consume and analyze data from the data pool to support inference, prediction, and recommendation of actionable insights for business growth.
  • Design and develop ETL processes using tools and scripting, troubleshoot and debug ETL processes, and optimize their performance.
  • Provide support to new or existing applications, recommending best practices and leading projects to implement new functionality.
  • Collaborate in design reviews and code reviews to ensure standards are met and recommend new standards for visualizations.
  • Learn and develop new ETL techniques as required to stay current with contemporary technologies.
  • Review solution requirements and architecture to ensure the selection of appropriate technology, efficient use of resources, and integration of multiple systems and technology.
  • Support presentations to customers and partners.
  • Advise on new technology trends and possible adoption to maintain a competitive advantage.

Requirements


  • 8+ years of related experience is required.
  • A BS or Masters degree in Computer Science or a related technical discipline is required.
  • ETL experience with data integration to support data marts, extracts, and reporting.
  • Experience connecting to varied data sources.
  • Excellent SQL coding experience with performance optimization for data queries.
  • Understanding of different data models, including normalized, de-normalized, stars, and snowflake models, and experience working with transactional, temporal, time series, and structured and unstructured data.
  • Experience with Azure Data Factory and Azure Synapse Analytics.
  • Work experience in big data environments, cloud data stores, different RDBMS, and OLAP solutions.
  • Experience in cloud-based ETL development processes.
  • Experience in deployment and maintenance of ETL Jobs.
  • Familiarity with the principles and practices involved in development and maintenance of software solutions and architectures and in service delivery.
  • Strong technical background and a commitment to staying evergreen with technology and industry developments.

Additional Requirements


  • Demonstrated ability to have successfully completed multiple, complex technical projects.
  • Prior experience with application delivery using an Onshore/Offshore model.
  • Experience with business processes across multiple Master data domains in a services-based company.
  • Demonstrates a rational and organized approach to tasks undertaken and an awareness of the need to achieve quality.
  • Demonstrates high standards of professional behavior in dealings with clients, colleagues, and staff.
  • Ability to make sound and far-reaching decisions alone on major issues and take full responsibility for them on a technical basis.
  • Strong written communication skills and effectiveness in both written and oral communication.
  • Experience with gathering end-user requirements and writing technical documentation.
  • Time management and multitasking skills to effectively meet deadlines under time-to-market pressure.

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