Lead Data Engineer (11:00 AM to 8 PM IST)

No of Positions: 1

Location: Hyderabad

Tentative Start Date: February 02, 2023

Work From : Onsite

Rate : $ 9 - 13 (Hourly)

Experience : 4 to 8 Year

Job Applicants : 0

Job Views : 394

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Job Category : Information Technology & Services

Duration : Long-Term

Required Skills

Python AWS GCP NOSQL Data Warehousing OOPS API's

Description

Lead Data Engineer

Key Responsibilities

In this role, you’ll partner with our Fortune 100 clients and work within our Data Science team as a Data Engineer. You will clean, transform, and analyze vast amounts of raw data from various systems to provide ready-to-use data to our Data Scientists.

This involves both ad-hoc requests as well as data pipelines that are embedded in our production environment.

Additionally, you will:

Gain experience using different big data and Cloud based Data technologies.
Experience operating distributed systems of data extraction and processing of large data sets.
Identify, analyze, and interpret trends or patterns in complex data sets. 
Design data processing pipelines.
Write good documentation with all code.
Develop strong communication skills with a proven success communicating with users, other tech teams.

Educational Qualifications

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

Requirements

4 - 8 years of hand on experience of developing python-based solutions/applications.
Strong experience in Python, preferably with a good low level designing and programming concepts.
Strong experience in any cloud platform preferably AWS or GCP.
Strong experience of working with API’s and integrating multiple applications together.
Experience with SQL and relational databases.
Solid architectural understanding of NOSQL databases.
Good understanding of cloud security best practices.
Excellent understanding of OOP concepts with experience applying it in enterprise programming.
Deep understanding of distributed systems (e.g. CAP theorem, partitioning, replication, consistency, and consensus)
Good Git version control practices
Proficient with Microsoft office suite (Excel, Word, PowerPoint)
Experience of working with Data Warehousing Technologies like BigQuery, Redshift, or snowflake is a plus.
Experience in using Business Intelligence tools such as: Tableau, Power BI for business applications is a plus.
Self-starter and have strong interpersonal skills
Strong analytical, problem solving, and troubleshooting abilities.
Flexibility to adapt to a variety of engagement types, working hours and work environments and locations.