Years of Experience:


No of Opening:


Job Position Details

We are looking for a skilled and experienced Data Engineer to join our team! As part of the team, you will be involved in the implementation of the ongoing and new initiatives for our company. If you love learning, think strategically, and innovate, and helping others, this job is for you!

Primary Skills:


Secondary Skills:


Role Description:

Data engineering role requires creating and managing technological infrastructure of a data platform, be in-charge / involved in architecturing, building & managing data flows/ pipelines and construct data storages (noSQL, SQL), tools to work with big data (Hadoop, Kafka), and integration tools to connect sources or other databases.

Role Responsibility:

  • Translate functional specifications and change requests into technical specifications
  • Translate business requirement document, functional specification, and technical specification to related coding
  • Develop efficient code with unit testing and code documentation
  • Ensuring accuracy and integrity of data and applications through analysis, coding, documenting, testing, and problem solving
  • Setting up the development environment and configuration of the development tools
  • Communicate with all the project stakeholders on the project status
  • Manage, monitor, and ensure the security and privacy of data to satisfy business needs
  • Contribute to the automation of modules, wherever required
  • To be proficient in written, verbal and presentationcommunication (English)
  • Co-ordinating with the UAT team

Role Requirement:

  • Proficient in basic and advanced SQL programming concepts (Procedures, Analytical functions etc.)
  • Good Knowledge and Understanding of Data warehouse concepts (Dimensional Modeling, change data capture, slowly changing dimensions etc.)
  • Knowledgeable in Shell / PowerShell scripting
  • Knowledgeable in relational databases, nonrelational databases, data streams, and file stores
  • Knowledgeable in performance tuning and optimization
  • Experience in Data Profiling and Data validation
  • Experience in requirements gathering and documentation processes and performing unit testing
  • Understanding and Implementing QA and various testing process in the project
  • Knowledge in any BI tools will be an added advantage
  • Sound aptitude, outstanding logical reasoning, and analytical skills
  • Willingness to learn and take initiatives
  • Ability to adapt to fast-paced Agile environment

Additional Requirement:

  • Experience in ETL Tools(DBT, FiveTran, Airflow) to develop jobs for extracting, cleaning, transforming & loading data into DWH.
  • Ability to translate the business requirements to Functional/technical aspects, integrate multiple data sources & databases and create database schemas
  • Understanding of the threading limitations of Python, event-driven programming concept & multi-process architecture, accessibility & security compliance
  • Knowledge of user authentication & authorization between multiple systems, servers, & environments
  • Understanding of fundamental design principles for scalable application
  • Knowledge on code versioning tools such as Gitz
  • Experience with Amazon Web Services using Boto SDK, Jenkins and continuous Development Integration Service(CIDS)
  • Strong knowledge on Amazon’s AWS offerings: RDS ,Redshift, S3, EC2, ECS, Data Pipeline, Glue, Spectrum, Lambda