Data Engineer

2 weeks ago

Mumbai, Maharashtra, India Mactores Full time ₹ 5,00,000 - ₹ 15,00,000 per year
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 a Data Engineer (Intern), you aspire to be a 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 the chosen technology for the project - For example - Spark, Apache Beam
  • 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 we are looking for?
  • Exposure to Apache Spark.
  • Exposure to the understanding  of  ETL concepts using  pySpark, and SparkSQL
  • Exposure to SQL queries and stored procedures to work on challenging projects with mentor mentor-oriented leader
You will be preferred if you have
  • Prior experience in working on AWS EMR,  Apache Airflow
  • AWS Certified Big Data – Specialty certification, Azure Certification, Snowflake Certification
  • Cloudera 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  
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.

Note: Please answer as many questions as possible with this application to accelerate the hiring process. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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