Job Location: India
Initial contract 12 months extended based on performance
Type: Full Time (Kindly ignore if you are looking for a permanent, part-time, or freelancer role)
Roles and Responsibilities
A data pipeline is a series of automated, programmatic steps. These data pipelines gather data from numerous, potentially disparate data sources and bring everything together into a central place (data lake & warehouse) where it is made readily available for downstream consumption.
Duties:
1. Develop & maintain data pipelines in support of downstream data delivery.
2. Perform analysis of organizational data & create reports to communicate the results.
Other potential duties include, but are not limited to:
- Communicate and advocate for a data-driven mindset in the larger organizational community, especially the IT department.
- Investigate and evaluate emerging technologies like robotic process automation (RPA), new AWS services, new data management approaches, machine learning advancements, etc.
- Liaise with individuals in the organization in support of all the above duties.
Desired Candidate Profile
- Good programming skills in both Python and SQL.
- Good database design skills and an understanding of data warehousing techniques and approaches.
- An understanding of and ability to access data from sources such as:
- Microsoft SQL Server
- Oracle, MongoDB, Amazon S3, Windows, and Linux file systems
- HTTP APIs, SFTP sites
- An ability to engineer cloud-first solutions in the Amazon Web Services cloud.
- An interest in machine learning and advanced analytics, and the development of data pipelines in support thereof.
- An understanding of the software development process, with proficiency in Git for version control and build & deployment pipelines in GitLab.
- An ability to create reports and BI dashboards to communicate data & analysis results, using a variety of technologies, which might include: o Microsoft SQL Server Reporting Services, Microsoft PowerBI, Microsoft Excel
Perks and Benefits
- Permanent work from home
- Working hours 12:00 pm to 9:00 pm (afternoon)
- Opportunity to work with international clients
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