Job overview and responsibilities
The Data Engineer role will work closely with a team of business analysts, data scientists and software developers to design, provision and implement data solutions to assist our business in setting up systems for data driven growth. Overall, this position will strive for efficiency by aligning data systems with the organization’s business goals.
- Gather and organize data from various sources to build data systems and pipelines using Big Data & cloud technologies like AWS Glue, S3, Athena, Lambda, Spark, Redshift
- Combine raw information from different sources including but not limited to on-prem/cloud RDBMS, files & API’s based data providers
- Evaluate business requirements and objectives for a given use case implementation
- Explore ways to enhance data quality and reliability to ensure a standardized data layer is being created on the data lake in AWS. Make use of deequ framework to create a DQ layer
- Conduct data analysis and report on results in a clear and effective manner to business analysts
This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded.
Qualifications
What’s needed to succeed (Minimum Qualifications):
- Bachelor's degree in Information Technology, Computer Engineering
- Bachelor of Technology
- Entry level position / 0-1 year of experience in data engineering
- Strong problem-solving and analytical thinking capabilities
- Excellent interpersonal and communication skills
- Eager learner
- Must be legally authorized to work in India for any employer without sponsorship
- Must be fluent in English and Hindi (written and spoken)
- Successful completion of interview required to meet job qualification
- Reliable, punctual attendance is an essential function of the position
What will help you propel from the pack (Preferred Qualifications):
- 2+ year of experience in data engineering
- Python, SQL, Spark
- AWS