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

What are we looking for?

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+

You will be preferred if you have

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

Life at Mactores

We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.

1. Be one step ahead

2. Deliver the best

3. Be bold

4. Pay attention to the detail

5. Enjoy the challenge

6. Be curious and take action

7. Take leadership

8. Own it

9. Deliver value

10. Be collaborative

We would like you to read more details about the work culture on https://mactores.com/careers

The Path to Joining the Mactores Team

At Mactores, our recruitment process is structured around three distinct stages:

Pre-Employment Assessment:

You will be invited to participate in a series of pre-employment evaluations to assess your technical proficiency and suitability for the role.

Managerial Interview: The hiring manager will engage with you in multiple discussions, lasting anywhere from 30 minutes to an hour, to assess your technical skills, hands-on experience, leadership potential, and communication abilities.

HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.

At Mactores, we are committed to providing equal opportunities in all of our employment practices, and we do not discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This policy extends to all aspects of the employment relationship, including recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs. All employment decisions will be made in compliance with these principles.

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

What are we looking for?

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+

You will be preferred if you have

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

Life at Mactores

1. Be one step ahead

2. Deliver the best

3. Be bold

4. Pay attention to the detail

5. Enjoy the challenge

6. Be curious and take action

7. Take leadership

8. Own it

9. Deliver value

10. Be collaborative

We would like you to read more details about the work culture on https://mactores.com/careers

The Path to Joining the Mactores Team

At Mactores, our recruitment process is structured around three distinct stages:

Pre-Employment Assessment:

You will be invited to participate in a series of pre-employment evaluations to assess your technical proficiency and suitability for the role.

HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.

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About Mactores Cognition Private Limited

Founded :

2008

Type :

Services

Size :

20-100

Stage :

Profitable

About

Mactores is a global technology consulting and product company with focus on delivering solutions on Cloud, Big Data, Deep Analytics, DevOps, IoT & AI

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