Data Engineer - Bengaluru, India - Reflections Info Systems
Description
Job Description
We are seeking a skilled Data Engineer with a minimum of 6 years of experience, preferably in a lead or key role, in implementing one or two large-scale data solutions.
The ideal candidate will have strong programming abilities in Scala or Python, as well as proficiency in SQL. Additionally, they should possess at least 1 year of experience in implementing MDM/PIM solutions using tools such as Ataccama, Syndigo, or Informatica MDM.
The candidate should have a minimum of 2 years of hands-on experience in implementing Data Engineering pipelines and solutions in both Snowflake and Databricks environments.
Proficiency in working with AWS and Azure services such as S3, ADLS Gen2, AWS Redshift, AWS Glue, Azure Data Factory, and Azure Synapse is required.
Analytical thinking and problem-solving skills are essential for this role, and the candidate must demonstrate excellent written and verbal communication skills in English.
Responsibilities
Work as part of a team to develop Data and Analytics solutions.
Participate in the development of cloud data warehouses, data as a service, business.
intelligence solutions
Ability to provide solutions that are forward-thinking in data integration.
Deliver a quality product.
Developing Modern Data Warehouse solutions using Azure or AWS Stack
Secondary Skills
In addition to primary qualifications, the ideal candidate should be familiar with Agile practices and proficient in using version control platforms such as GIT and Code Commit.
Problem-solving skills are highly valued, with an emphasis on exploring multiple options to resolve issues and prioritizing task completion over time spent.
Candidates should exhibit a strong sense of ownership and be proactive rather than reactive in their approach to tasks and challenges.
Education and Certification Requirements:
A Bachelor's degree in computer science & engineering or equivalent practical experience is required.
Additionally, possessing cloud certifications in Data, Analytics, or Ops/Architect domains would be advantageous.