Basic Qualifications
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Prior professional, non-internship experience in software development, specifically within product startup environments.
- Proven experience as a Data Engineer with expertise in ETL techniques is a MUST
- Robust programming skills in languages such as Python, Java, or Scala.
- Skillset to scrape and transform data off of the publicly available web sources
- Experience with cloud-based data platforms (e.g., AWS, Azure, GCP).
- Proficiency in SQL and experience working with relational and non-relational databases.
- Knowledge of data warehousing concepts and architectures.
- Familiarity with big data technologies such as Hadoop, Spark, and Kafka.
- Experience with data modeling tools and techniques.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
Preferred Qualifications
- Master's degree or equivalent in Computer Science/ Data Science
- Knowledge of data streaming and real-time processing.
- Familiarity with data governance and security best practices.
Responsibilities:
Outline the primary responsibilities and tasks the candidate is expected to perform.
About the role
As a Data Engineer for our Data Science team, you will play a critical role in helping the team to enrich and maintain the central repository of datasets which is leveraged for carrying out advanced data analytics and machine learning techniques to extract actionable insights from financial and market data. You will work closely with cross-functional teams to develop and implement robust data pipelines that will automate the updation of data in our cloud-based repository in a ready to use form thereby incre