Technical Architect - Data Engineering (11:00 AM to 8 PM IST)

No of Positions: 1

Location: Hyderabad

Tentative Start Date: February 02, 2023

Work From : Onsite

Rate : $ 15 - 19 (Hourly)

Experience : 8 to 12 Year

Job Applicants : 6

Job Views : 412

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Job Category : Information Technology & Services

Duration : Long-Term

Required Skills

Technical Architect Hadoop Spark Kafka Python API AWS GCP

Description

Technical Architect - Data Engineering (DE)

Overview

We are looking for a Technical Architect - Data Engineering (DE) who will provide strategic direction and broad oversight for our high-performing Data Engineering team that maintains, integrates and implements modern data engineering practices and technologies. This role requires a blend of architecture experience, executive polish, business sense, and especially technical depth.

Requirements

8+ years of hands-on Experience with crafting and building large scale data pipelines in distributed environments with technologies such as Hadoop, Spark, Kafka, Hive etc.
Experience with NoSQL datastores like Cassandra, Elasticsearch, HBase, MongoDB.
Proven skills in designing, tuning & optimizing scalable, highly available distributed systems which can handle high data volumes.
Strong understanding of software engineering principles and fundamentals including data structures and algorithms.
Strong experience of working with API’s and integrating multiple applications together.
Proficient & hands-on in Python is a must.
Good Experience with modern engineering practices and technologies including CICD, Cloud native development, social coding (github), chatbots and more.
Good data modelling experience to address scale and read/write performance.
Excellent written and oral communication skills on both technical and non-technical topics.
Excellent general analytical & problem solving skills.
Experience with cloud computing platform like AWS or GCP is a plus.

Educational Qualifications

Bachelor/Master’s degree in Computer Science, Computer Engineering, quantitative studies, such as Statistics, Math, Operation Research, Economics and Advanced Analytics

Key Responsibilities

Practice Development

Work with DE Practice Lead and clients to understand business problems, industry context, data sources, potential risks, and constraints.
Collaborate with Leadership – provide meaningful and credible feedback on Data Engineering capabilities, data availability, and customer trend information.
Actively mentor and coach the team and help them realize the best solution to a problem
Facilitating, guiding, and influencing the clients and teams towards right information technology architecture and becoming interface between Business leadership, Tech leadership and the delivery teams
Provide best practice advice to customers and team members