What This Job Entails

We are looking for a Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The Data Engineer will support our data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

Scope

Resolves a wide range of issues in creative ways

Seasoned, experienced professional with a full understanding of their specialty

Works on problems of a diverse scope

Receives little instruction on day to day work, general instruction on recent assignments

Your Roles And Responsibilities

Create and maintain optimal data pipeline architecture

Assemble large, complex data sets that meet functional / non-functional business requirements.

Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources

Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

Work with stakeholders including the Executive, Product,



Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

Create data tools for team members to assist them in building and optimizing analytics production.

Work with data and analytics experts to strive for greater functionality in our data systems.

Other duties as required. This list is not meant to be a comprehensive inventory of all responsibilities assigned to this position

Required Qualifications/Skills

Bachelor's degree (B.S/B.A) from four-college or university and 5 to 8 years' related experience and/or training; or equivalent combination of education and experience

Networks with senior internal and external personnel in own area of expertise

Demonstrates good judgment in selecting methods and techniques for obtaining solutions

Proficiency in languages SAS, Python, Java, and MatLab

ETL (Extract, Transform, and Load)

Database - SQL and NoSQL

Data Warehousing – Hadoop, MapReduce, HIVE, Presto

Follows standard practice and procedures when analyzing situations or data

Preferred Qualifications

Programming language: Javascript, R

Basic Machine Learning

Physical Demand & Work Environment

Must have the ability to perform office-related tasks which may include prolonged sitting or standing

Must have the ability to move from place to place within an office environment

Must be able to use a computer

Must have the ability to communicate effectively

Some positions may require occasional repetitive motion or movements of the wrists, hands, and/or fingers

📌 Data Developer (SQL,SAS ) (India)
🏢 Astreya
📍 India