Data Engineer - Google Cloud Platform (6-10 yrs)

About US :

MOURI Tech is a professional global enterprise solution provider helping its customers transform into intelligent enterprises. It offers comprehensive solutions and world-leading consulting and delivery experience to many fortune 500 companies across the globe. As a lead innovator of NextGen AI solutions, it enables its customers to achieve new business performance thresholds. MOURI Tech helps its clients to be resilient and successful in the long run through digital transformation.

Operating across five continents, MOURI Tech continually engages with employees, clients, partners, and community organizations worldwide. At MOURI Tech, we have transitioned into AI-based digital mode of learning to ensure our associates are steadfast learners and can sustain themselves as resilient professionals. We shape our employees into certified professionals and upskill their career journeys throughout their associations with us. MOURI Tech provides a transparent, healthy, and favourable work environment with teams and business units seamlessly connected across the organization.

Title : GCP Data Engineer

Experience : 6+ Years

Location : Gurgaon (ANY NCR)-Hybrid

Mandatory skills : Python (Libraries), Advance SQL & must have GCP, DWH/ETL

Responsibilities :

- 6+ years of experience.

- Strong development skills in Python.

- Writing effective and scalable Python codes.

- Strong experience in processing data and drawing insights from large data sets

- Good familiarity with one or more libraries: pandas, NumPy, SciPy etc.

- In-depth knowledge of spaCy and similar NLP libraries like NLTK, textacy etc.

- Experience with Python development environments, including, but not limited to Jupyter, Google Colab notebooks, Matplotlib, Plotly, and geoplotlib.

- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

- Strong analytic skills related to working with unstructured datasets.

Good to have some exposure to :

- Experience with setting up and maintaining Data warehouse (Google BigQuery, Redshift, Snowflake) and Data Lakes (GCS, AWS S3 etc.) for an organization

- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra / MongoDB.

- Experience with data pipeline and workflow management tools: Airflow, Dataflow, Dataproc, etc.

- Exposure to any Business Intelligence (BI) tools like Tableau, Dundas, Power BI etc.

- Agile software development methodologies.

- Working in multi-functional, multi-location teams