Data EngineerIntellection Corp.

We are Intellection Corp. We are the first and only firm in the country dedicated solely to helping organizations apply advanced analytics to make better decisions in solving business problems and identifying opportunities.
And the exciting part is that we are growing our pool of experts for the country's leading telecommunications company. Our client is one of the very few organizations in the country that deploy leading edge analytics. This will be your chance to get ahead of your peers and be benchmarked with your peers in US, EU, Singapore and Australia!
Your next challenge!
As a Data Engineer, you will contribute in the development and implementation of ETL processes within a complex and multi-platform environment. The lead will also help and mentor the team of developers as well as guide the team by providing technical input. The Lead will also help ensure compliance with data governance standards across the enterprise.
Your scope of work will include:
> Assessment and estimation of effort needed based on provided Business request form
> Source Code documentation
> Development and deliver automated data pipelines(Extract, Transform, Load-ETL) jobs in the Data Lake within expected timelines
> Coordinate with various support groups to accomplish assigned automated data pipes for development
> Prepare deployment package for endorsement to Release Testing Team which includes Solutions Design Document and Operations Guide
> Provide support during stabilization phase of pipes endorsed to production until declared BAU
> Review and approve builds based on the set framework, standards and best practices.
Qualifications:
> 5-8 years' Java Experience
> 5 years' DevOps Experience(Git, Jenkins, SonarQube, Jira)
> 8 years of experience in ETL development and management
> In-depth knowledge on Big Data and Distributed Computing
> In-depth experience in automated data pipeline design, implementation, and support
> Experience with Big Data Platforms.
> Experience establishing and building operational data stores and analytic data stores (enterprise data warehouse)
> Strong SQL & PL/SQL skills with the ability to solve highly complex challenges
> Advanced technical experience and business knowledge in various SDLC methodologies including waterfall, iterative, agile software development life cycle or related disciplines/processes is preferred.
> Experience in DevSecOps Process
> Good communication and interpersonal skills for interacting and collaborating with developers, analysts, and business staff throughout the organization.
> Ability to communicate clearly in writing to document data requirements and translate into technical solutions.