Big Data Solutions Architect

1 week ago


Bengaluru, Karnataka, India Luxoft Full time

We are seeking a highly skilled Big Data Solutions Architect to join our team at Luxoft. As a Senior Big Data Engineer, you will play a crucial role in managing analytics support for all key initiatives across Retail Bank supporting countries and group teams.

Key Responsibilities
  • Ensure quality service output is submitted in a timely manner and communicated effectively.
  • Continuous Improvement in Productivity to the standards prescribed from time to time.
  • Manage data & information support for all the key initiatives across Retail Bank supporting countries & group teams.
  • Work closely with technology on solutions to resolve identified production issues which are impacting existing infrastructure/solution covering data quality, data assurance, refresh timeliness, data security governance.
  • To work closely with Business & Technology to review the integration of new functionality/technology implementation projects initiated.
  • Extend analytics support spanning across entire gamut of business (Customer Acquisition, Portfolio Management, New Product Development).
  • Manage analysis & reporting across all Retail products/segments.
  • Interact with metrics owners across various functions and get end-to-end understanding of the metrics and applicability of the same across various MI dashboards.
  • Provide development opportunities through regular engagement, ensuring that all staff is aware of the opportunities available in order to help them succeed within their role.
  • Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional/non-functional business requirements.

Mandatory Skills Description:

  • 6+ years of relevant technology experience.
  • Java/Scala programming experience.
  • Strong analytic skills related to working with unstructured datasets.
  • Hands-on Hadoop and Bigdata tech. e.g. HIVE, HBase, Kafka, Spark.
  • Strong experience on SQL.
  • Good Experience on Data Base & Data Ware house building and management.
  • Exposure to data pipelines, architectures, and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
  • Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.

Estimated Salary: ₹1,500,000 - ₹2,500,000 per annum.



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