We are currently looking for a Software Engineer who is more focused in Data Science and Analytics as a Mid-Level Software Engineer(Data Analyst).

RESPONSIBILITIES

Identify, construct, and implement efficient and effective Data Platforms.
Develop and deploy highly scalable Data pipelines with automation capabilities.
Construct ETL jobs following architectural guidelines that seamlessly integrate into the data pipeline.
Collaborate closely with stakeholders, including executives and data teams, to troubleshoot and resolve issues within the Data Platform.
Propose and implement optimization patterns for both new and existing Data Platforms.
Select and implement appropriate BI tools in alignment with architectural guidelines.
Proactively identify performance gaps in solutions and provide expert guidance for improvement.
Work independently with minimal supervision, demonstrating self-motivation and initiative.
Articulate problems clearly and efficiently, delivering timely solutions.

QUALIFICATIONS & SKILLS

Bachelor’s in Information Technology, Computer Engineering or similar
Possess a good understanding of the fundamentals of Big Data principles and architectural patterns.
Demonstrate deep knowledge of both Batch and streaming data pipelines.
Good knowledge in cloud infrastructure mainly on AWS with its professional certification would be a plus
Experience in building the data lakes or similar using the native cloud service like AWS Services or similar.
Good knowledge in Python, Scala etc and using big data technologies like Spark Engine, Kafka etc.
Knowledge and experience in BI looks like Tableau etc

Mid-Level Software Engineer(Data Analyst)