Data Engineering Associate

7 months ago

Gurugram, India Metyis Full time

What we offer

  Interact with C-level at our clients on regular basis to drive their business towards impactful change Lead your team in creating new business solutions Seize opportunities at the client and at Metyis in our entrepreneurial environment Become part of a fast-growing international and diverse team

What you will do

Metyis is growing We are looking for a data professional to join our Data Engineering team.

Work in a multi-disciplined team where you will turn data discoveries and ideas into models and insights. You’ll find how to 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 application 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

What you’ll bring

A broad practice in multiple software engineering field 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 Good written and oral communication skills in English language

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