Your browser does not support javascript! Please enable it, otherwise web will not work for you.

Data Engineer - Offshore @ Prodapt Solutions

Home > Data Science & Machine Learning

 Data Engineer - Offshore

Job Description

Overview

The Data Analytics Engineer is responsible for designing, building, and maintaining data pipelines and models that facilitate data analysis. This role combines technical expertise in data engineering with analytical skills to support business decision-making processes.

Primary Skills: Python, BigData, Spark, Hadoop.


Responsibilities

Data Modeling and Transformation

  • Develop and implement data models to organize and structure raw data into clean, usable datasets.
  • Ensure the accuracy and reliability of data through rigorous validation and testing processes.

Data Pipeline Development

  • Design and build automated data pipelines to extract, transform, and load (ETL) data from various sources into data warehouses.
  • Optimize data workflows for efficiency and scalability, ensuring seamless integration of new data sources.

Collaboration with Stakeholders

  • Work closely with data scientists, analysts, and business stakeholders to gather requirements and understand analytical needs.
  • Communicate complex technical concepts to non-technical stakeholders effectively.

Data Documentation

  • Maintain comprehensive documentation of data processes, models, and workflows to ensure transparency and reproducibility.
  • Create user-friendly guides for accessing and utilizing datasets.

Implementation of Best Practices

  • Apply software engineering best practices, including version control, code reviews, and continuous integration/continuous delivery (CI/CD) methodologies.
  • Stay updated on industry trends and emerging technologies to enhance data analytics capabilities.

Requirements
  • Bachelors degree in Computer Science, Data Science, Engineering, or a related field.
  • Proven experience in a data analytics or engineering role, with a strong focus on data modeling and pipeline development.
  • Proficiency in SQL for querying databases and manipulating datasets.
  • Familiarity with programming languages such as Python or R for data analysis and visualization.
  • Strong understanding of data analysis principles and techniques.
  • Experience with cloud platforms (e.g., AWS, Azure) and data warehousing solutions.
  • Knowledge of business intelligence (BI) tools for visualizing and reporting data findings.
  • Excellent problem-solving skills with attention to detail.
  • Strong communication skills for effective collaboration across teams.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Prodapt Solutions
Location(s): Chennai

+ View Contactajax loader


Keyskills:   Data Engineering Azure R data analysis data warehousing solutions AWS SQL Python

 Fraud Alert to job seekers!

₹ Not Disclosed

Similar positions

Data Scientist-Advanced Analytics

  • IBM
  • 3 - 5 years
  • Bengaluru
  • 1 day ago
₹ Not Disclosed

Data Scientist- Artificial Intelligence

  • IBM
  • 7 - 9 years
  • Bengaluru
  • 1 day ago
₹ Not Disclosed

Data Scientist-Artificial Intelligence

  • IBM
  • 3 - 5 years
  • Bengaluru
  • 2 days ago
₹ Not Disclosed

MLOPs Engineer

  • Tech Mahindra
  • 5 - 10 years
  • Hyderabad
  • 2 days ago
₹ Not Disclosed

Prodapt Solutions

Prodapt is a two-decade-old consulting & managed services provider, singularly focused on the telecom/DSP (digital service provider) ecosystem that helps clients transform their IT, products, operations, and networks to meet their strategic objectives. Prodapt provides end-to-end IT/software arc...