DataOps Engineer @ Mactores

Posted 8 months ago

🌐 Location
🗃️ Category
⌛ Commitment
💼 Experience
Mid-level (3-4 years)
💰 Salary range/Hourly rate:
20-25 LPA
📝 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.

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 experience in 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?

- Operate the current data lake deployed on AWS with Amazon S3, Amazon EMR, and Apache Airflow
- Debug and fix production issues in PySpark.
- Determine the RCA (Root cause analysis) for production issues.
- Collaborate with product teams for L3/L4 production issues in PySpark.
- Contribute to enhancing the ETL efficiency
- Build CloudWatch dashboards for optimizing the operational efficiencies
- Handle escalation tickets from L1 Monitoring engineers
- Assign the tickets to L1 engineers based on their expertise

What are we looking for?

- AWS DataOps engineer.
- Overall 5+ years of exp in the software industry Exp in developing architecture data applications using python or scala, Airflow, and Kafka on AWS Data platform Experience and expertise.
- Must have set up or led the project to enable Data Ops on AWS or any other cloud data platform.
- Strong data engineering experience on a Cloud platform, preferably AWS.
- Experience with data pipelines designed for reuse and use parameterization.
- Experience of pipelines was designed to solve common ETL problems.
- Understanding or experience with various AWS services can be codified for enabling DataOps like Amazon EMR, and Apache Airflow.
- Experience in building data pipelines using CI/CD infrastructure.
- Understanding of Infrastructure as code for DataOps ennoblement.
- Ability to work with ambiguity and create quick PoCs.

You will be preferred if

- Expertise in Amazon EMR, Apache Airflow, Terraform, CloudWatch
- Exposure to MLOps using Amazon Sagemaker is a plus.
- AWS Solutions Architect Professional or Associate Level Certificate
- AWS DevOps Professional Certificate

Our success comes from our pragmatic approach to problem-solving, resolving cross-functional dependencies, and delivering high-value business outcomes.

Mactores Hiring Process

The Mactores hiring process entails three rounds, which are as follows:

Pre-employment Test:  You will receive a system-generated email to take the pre-employment tests as necessary.

Hiring Manager Interview Round: In this round, the Mactores hiring manager may conduct multiple interviews. The number of interviews depends on each position. The interview will be between 30 mins to 1 hour to discuss your technical abilities, hands-on experience, leadership skills, and communication skills. 

HR Round: 30 mins round to discuss the offer and next steps

Mactores provides equal opportunity in all of our employment practices to all qualified employees and applicants without regard to race, color, 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 applies to all aspects of the employment relationship, including recruitment, hiring, compensation, promotion, transfer, disciplinary action, layoff, return from layoff, training, and social, and recreational programs. All such employment decisions will be made without unlawfully discriminating on any prohibited basis.

Note: Please answer as many questions as possible with this application to accelerate the hiring process.

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