GCP Data Engineer [Apply in 3 Minutes]

About Impetus

Impetus Technologies is a digital engineering company focused on delivering expert services and products to help enterprises achieve their transformation goals. We solve the analytics, AI, and cloud puzzle, enabling businesses to drive unmatched innovation and growth.

Founded in 1991, we are cloud and data engineering leaders providing solutions to fortune 100 enterprises, headquartered in Los Gatos, California, with development centers in NOIDA, Indore, Gurugram, Bengaluru, Pune, and Hyderabad with over 3000 global team members. We also have offices in Canada and Australia and collaborate with a number of established companies, including American Express, Bank of America, Capital One, Toyota, United Airlines, and Verizon.

Roles & Responsibilities

6-10 years of experience in the role of implementation of high end software products.

Provides technical leadership in Big Data space (Hadoop Stack like Spark, M / R, HDFS, Hive, HBase etc) and contributes to open source Big Data technologies.

Must have : Operating knowledge of cloud computing platforms (GCP, especially Big Query, Dataflow, Dataproc, Storage, VMs, Networking, Pub Sub, Cloud Functions, Composer servics)

Should be aware with columnar database e.g parquet, ORC etc

Visualize and evangelize next generation infrastructure in Cloud platform / Big Data space (Batch, Near Real-time, Real-time technologies).

Passionate for continuous learning, experimenting, applying and contributing towards cutting edge open source technologies and software paradigms

Developing and implementing an overall organizational data strategy that is in line with business processes. The strategy includes data model designs, database development standards, implementation and management of data warehouses and data analytics systems

Expert-level proficiency in at-least 4-5 GCP services

Experience with technical solutions based on industry standards using GCP - IaaS, PaaS and SaaS capabilities

Strong understanding and experience in distributed computing frameworks, particularly

Experience working within a Linux computing environment, and use of command line tools including knowledge of shell / Python scripting for automating common task