Job Summary
4 - 7 years
Machine Supervisor, Data Processing,
Data Entry Machine Operator
Last Date to Apply
18 Apr 2021
Data Engineer
Cerentral Consultants Private Limited
Posted on: 17 Feb 2021
Job Description

Roles and Responsibilities
How will you make an impact?
Being part of an organization that provides analytics driven data solutions for all business Verticals of the Company, you will be instrumental in helping our business partners and customers with their data and analytics needs.
What will you do?
  • Own and deliver solutions on Enterprise data platform of the Organisation.
  • Defining, designing and documenting reference architecture and leading the implementation of data and analytical solutions.
  • Collaborate with admins, developers, data engineers and analysts for successful functionality delivery
  • Enable security and authentication features across EDP processes.
  • Brings experienced point of view on differing data solution architectures & tool and develops solutions based on client use cases.
  • Defines EDP standards, guidelines and best practices for technical teams to achieve maximum efficiency.
  • Supports in developing EDP product and feature roadmap
  • Collaborate with leadership and data analysts to ensure data quality and integrity in DWH & AWS platforms for BI/Analytical reporting
  • Involved in building solutions using PySpark, SQL and databases, Oracle Golden Gate, AWS Athena, S3, Redshift, AWS API Gateway, Lambda, Glue and other data Engineering technologies.
  • Follow agile development methodologies to deliver solutions and product features by following DevOps practices.
  • Document features, epic, user stories for enterprise data platform in Jira

Knowledge, Skills, Abilities
  • 3+ years working experience in delivering data solutions.
  • 2+ years of Experience building Cloud BI solutions using AWS and Azure as data lake backend sources and understanding of Power BI or similar as BI visualization tools
  • Expert in SQL queries
  • Knowledge of data lake, data warehouse and datahub concepts
  • Knowledge of Service API enhancements on data platforms
  • Working knowledge of relational database design and data modeling.
  • Experience with agile development methodologies by following DevOps, data Ops and Dev Sec Ops practices.
  • Excellent written, verbal and inter-personal and stakeholder communication skills.
  • Ability to analyze trends associated with huge datasets.
  • Ability to work with cross functional teams from multiple regions/ time zones by effectively leveraging multi-form communication (Email, MS Teams for voice and chat, meetings)
  • Excellent prioritization and problem solving skills.

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