Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance, and growth.
Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalizing go-to-market models and not just explore possibilities.
We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership, and collaboration our people work in a spirit of co-creation, co-innovation, and co-development to engineer next-generation software products with the help of accelerators.
Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions.
We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes.
We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We are constantly self-asses and realign to work with each customer in the most impactful manner.
Pre-requisites for the Role
- Job ID-EMBD0120PS
- Primary skill: GCP DATA ENGINEER, BIGQUERY, ETL
- Secondary skill: HADOOP, PYTHON, SPARK
- Years of Experience: 5-8Years
- Location: Remote
Budget- Open
NP- Immediate
GCP DATA ENGINEER
Position description
- Designing and implementing software systems
- Creating systems for collecting data and for processing that data
- Using Extract Transform Load operations (the ETL process)
- Creating data architectures that meet the requirements of the business
- Researching new methods of obtaining valuable data and improving its quality
- Creating structured data solutions using various programming languages and tools
- Mining data from multiple areas to construct efficient business models
- Collaborating with data analysts, data scientists, and other teams.
Candidate profile
- Bachelor’s or master’s degree in information systems/engineering, computer science and management or related.
- 5-8 years professional experience as Big Data Engineer
- Proficiency in modelling and maintaining Data Lakes with PySpark – preferred basis.
- Experience with Big Data technologies (e.g., Databricks)
- Ability to model and optimize workflows GCP.
- Experience with Streaming Analytics services (e.g., Kafka, Grafana)
- Analytical, innovative and solution-oriented mindset
- Teamwork, strong communication and interpersonal skills
- Rigor and organizational skills
- Fluency in English (spoken and written).
Shubham Vishwakarma
Full Stack Developer - Averlon
About EnterpriseMinds
About
Enterprise Minds, with core focus on engineering products, automation and intelligence, partners customers on the trajectory towards increasing outcomes, relevance and growth.
Harnessing the power of Data and the forces that define AI, Machine Learning and Data Science, we believe in institutionalising go-to-market models and not just explore possibilities.
We believe in a customer-centric ethic without and people-centric paradigm within. With a strong sense of community, ownership and collaboration our people work in a spirit of co-creation, co-innovation and co-development to engineer next-generation software products with the help of accelerators.
Through Communities we connect and attract talent that shares skills and expertise. Through Innovation Labs and global design studios we deliver creative solutions.
We create vertical isolated pods which has narrow but deep focus. We also create horizontal pods to collaborate and deliver sustainable outcomes.
We follow Agile methodologies to fail fast and deliver scalable and modular solutions. We constantly self-asses and realign to work with each customer in the most impactful manner.
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