Agile methodologies, Amazon Athena, Amazon EMR, Amazon RedShift, Apache Airflow, Apache Beam, Apache Kafka, API, AWS, AWS Glue, AWS Sagemaker, Big Data Technology, CloudWatch, DevOps, ETL/ELT technologies, MLOps tools, Presto, PySpark, Spark Core, Spark-SQL, SQL, Terraform
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.
We are looking for a DataOps Engineer with expertise while operating a data lake. Amazon S3, Amazon EMR, and Apache Airflow for workflow management are used to build the data lake.
You have the experience of building and running data lake platforms on AWS. You have exposure to operating PySpark-based ETL Jobs in Apache Airflow and Amazon EMR. Expertise in monitoring services like Amazon CloudWatch.
If you love solving problems using yo, professional services background, usual 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?
What are we looking for?
You will be preferred if
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.
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.
Note: Please answer as many questions as possible with this application to accelerate the hiring process.
Mactores is a team of emerging technologists, data engineers, and data scientists driven by excellence in technology to solve critical business problems. We help bridging complex business challenges with technical expertise. Specializing in AI, Fast Data, Industrial IoT and Cloud helps us collaborate with organizations that view technology as a strategic driver to success.
Mumbai, Maharashtra, India
4-6 year
Mumbai, Maharashtra, India
4-6 year
Mumbai, Maharashtra, India
2-4 year
Seattle, WA, USA
4-6 year