Data Engineering Associate Job in Gurgaon at Metyis

Metyis is hiring for the job role of Data Engineering Associate!

Responsibilities of the Candidate:

• Work in a multi-disciplined team where you will turn data discoveries and ideas into models and insights.
• Leverage the data and the models to create and improve products for our customers, in lean development cycles.
• Be able to implement/build methodologies as well as (understand how to) scale them together with the businesses.
• Maintain a good, current, and demonstrable knowledge of adjacent applications and market developments both for inspiration and for benchmarking the concepts.
• Ingest data-sources into our data management platforms.
• Structure data into a scalable and easily understood architecture.

Requirements:

• A broad practice in multiple software engineering fields
• 3 - 6 years of professional hands-on experience
• At least 1 year of consultancy experience or relevant industry experience
• Hands-on experience including programming to implement pipelines integrating database management systems, cleaning data, and improving data quality
• Knowledge in Azure (AWS or GCP as a plus) and at least one programming language (Python, R, Scala), Hadoop clusters, different SQL and nonSQL databases
• Experience with agile methodologies
• You are inventive and passionate about streamlining and automating data acquisition and possess a highly structured approach to problem-solving.
• Must have experience on Python, SQL, and Distributed programming languages, preferably Spark
• Experience on data workflows and ETL, Apache Airflow is a plus
• Basic knowledge of Containers and Docker as platform
• Experience using Version Control, Testing, and development cycle, preferable git (Gitlab or GitHub)
• Software development practices (Agile)
• A Strong Focus On Data Processing
• Object-oriented programming
• Data workflows, monitoring, architecture and security
• Databases: theory and practice
• Distributed data processing
• Concepts of functional programming
• Enterprise data warehousing, business intelligence, and ETL principles