AWS Data Engineer

Company: Mactores

Website: Visit Website

Business Type: Small/Medium Business

Company Type: Service

Business Model: B2B

Funding Stage: Bootstrapped

Industry: Data Analytics

Salary Range: ₹ 5-14 Lacs PA

Job Description

Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.

As AWS Data Engineer, you are a full-stack data engineer that loves solving business problems. You work with business leads, analysts, and data scientists to understand the business domain and engage with fellow engineers to build data products that empower better decision-making. You are passionate about the data quality of our business metrics and the flexibility of your solution that scales to respond to broader business questions.

If you love to solve problems using your skills, then come join the Team Mactores. We have a casual and fun office environment that actively steers clear of rigid "corporate" culture, focuses on productivity and creativity, and allows you to be part of a world-class team while still being yourself.

What you will do?

• Write efficient code in - PySpark, Amazon Glue
• Write SQL Queries in - Amazon Athena, Amazon Redshift
• Explore new technologies and learn new techniques to solve business problems creatively
• Collaborate with many teams - engineering and business, to build better data products and services
• Deliver the projects along with the team collaboratively and manage updates to customers on time
  
  

• 1 to 3 years of experience in Apache Spark, PySpark, Amazon Glue
• 2+ years of experience in writing ETL jobs using pySpark, and SparkSQL
• 2+ years of experience in SQL queries and stored procedures
• Have a deep understanding of all the Dataframe API with all the transformation functions supported by Spark 2.7+
  
  

• Prior experience in working on AWS EMR, Apache Airflow
• Certifications AWS Certified Big Data – Specialty OR Cloudera Certified Big Data Engineer OR Hortonworks Certified Big Data Engineer
• Understanding of DataOps Engineering