Bright minds,
sharp solutions

Luxoft is a global IT service provider of innovative technology solutions that delivers measurable business outcomes to multinational companies. Its offerings encompass strategic consulting, custom software development services, and digital solution engineering. Luxoft enables companies to compete by leveraging its multi-industry expertise in the financial services, automotive, communications, and healthcare & life sciences sectors. For more information, please visit the website.

Line of Business:

Financial Services


Senior Data Engineer, Gurgaon

Project Description

We are looking for a Senior Data Engineer to join our growing team of analytics experts on client side in Global Investment Bank. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and data collection for cross-functional teams. The ideal candidate is an experienced data analyst and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives.


Design of logical and conceptual data models, data mapping
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a data sources using SQL, set of big-data streaming technologies (e.g. AWS 'big data')
 and Data lakes
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs



• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools and expertises:
• Experience in designing data models: PDM, LDM and CDMs
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Experience with NOSQL databases (HBase or MongoDB or Cassandra or Cloudera or DynamoDB or MarkLogic)
• Experience with big data tools & technologies: Hadoop , Hive, Spark (or Kafka or Hue or Zaloni)
• Experience building and optimizing 'big data' 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
• Strong analytic skills related to working with structured and unstructured datasets
• Experience in building processes supporting data transformation, data structures, metadata, dependency and workload management
• Experience supporting and working with cross-functional teams in a dynamic environment

Nice to have

• Experience with data pipeline, governance and workflow management tools: Allatus nice to have
• Experience with object-oriented/object function scripting languages: Python or Java or C++ or Scala, etc.


  • English: Upper-intermediate

Relocation package

If needed, we can help you with relocation process. Click here for more details:



Work Type

Data Architecture

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