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Data Engineer

Job Description : Mactores is seeking an AWS Data Engineer (Senior) to join our team. The ideal candidate will have extensive experience in PySpark and SQL and have worked with data pipelines using Amazon EMR or Amazon Glue. The candidate must also have experience in data modeling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, Presto, and orchestration experience using Airflow. Responsibilities : - Develop and maintain data pipelines using Amazon EMR or Amazon Glue. - Create data models and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, and Presto. - Build and maintain the orchestration of data pipelines using Airflow. - Collaborate with other teams to understand their data needs and help design solutions. - Troubleshoot and optimize data pipelines and data models. - Write and maintain PySpark and SQL scripts to extract, transform, and load data. - Document and communicate technical solutions to both technical and non-technical audiences. - Stay up-to-date with new AWS data technologies and evaluate their impact on our existing systems. Requirements : - Bachelor's degree in Computer Science, Engineering, or a related field. - 3+ years of experience working with PySpark and SQL. - 2+ years of experience building and maintaining data pipelines using Amazon EMR or Amazon Glue. - 2+ years of experience with data modeling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, and Presto. - 1+ years of experience building and maintaining the orchestration of data pipelines using Airflow. - Strong problem-solving and troubleshooting skills. - Excellent communication and collaboration skills. - Ability to work independently and within a team environment. You are preferred if you have : - AWS Data Analytics Specialty Certification. - Experience with Agile development methodology.

Remote

Anywhere in India/Multiple Locations

Mactores - Senior Data Engineer - AWS (5-6 yrs)

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. You will be part of the DevOps engineers' team, managing large customer deployments using the DevOps Engineering principles such as Infrastructure as a Code, CI/CD, Automated Monitoring for large enterprise Applications, customer applications, and Big data Workloads. You will have hands-on technology expertise coupled with a background in professional services and client-facing skills. You are passionate about the best practices of cloud deployment and ensuring the customer expectation is set and met appropriately. You will help us build scalable, efficient cloud infrastructure. Youll implement monitoring for automated system health checks. Lastly, youll build our CI pipeline, and train and guide the team in DevOps practices. 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? - Automate operational and service provisioning workflows using Infrastructure as a Code using Terraform. - Perform application configuration management, and application-deployment tool enabling infrastructure as code. - Take ownership of the Build and release cycle of the customer project. - Share the responsibility for deploying releases and conducting other operations maintenance. - Enhance operations infrastructures such as Jenkins clusters, Bitbucket, monitoring tools (Consul), and metrics tools such as Graphite and Grafana. - Provide operational support for the rest of the Engineering team to help migrate our remaining dedicated hardware infrastructure to the cloud. - Establish and maintain operational best practices. What are we looking for? - 4+ years of experience in using Terraform for IaaC - 4+ years of configuration management and engineering for large-scale customers, ideally supporting an Agile development process. - 4+ years of Linux or Windows Administration experience. - 4+ years of version control systems (git), including branching and merging strategies. - 2+ Experience in working with AWS Infrastructure, and platform services. - 2+ Experience in cloud automation tools (Ansible, Chef). - Exposure to working on container services like Kubernetes on AWS, ECS, and EKS - You are extremely proactive at identifying ways to improve things and to make them more reliable. You will be preferred if : - Expertise in multiple cloud services providers: Amazon Web Services, Microsoft Azure, Google Cloud Platform - AWS Solutions Architect Professional or Associate Level Certificate - AWS DevOps Professional Certificate 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

Mactores - AWS DevOps Engineer - IAC Terraform (5-10 yrs)

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. Mactores is seeking an AWS Data Engineer (Senior) to join our team. The ideal candidate will have extensive experience in PySpark and SQL, and have worked with data pipelines using Amazon EMR or Amazon Glue. The candidate must also have experience in data modeling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, Presto, and orchestration experience using Airflow. What you will do? - Develop and maintain data pipelines using Amazon EMR or Amazon Glue. - Create data models and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, and Presto. - Build and maintain the orchestration of data pipelines using Airflow. - Collaborate with other teams to understand their data needs and help design solutions. - Troubleshoot and optimize data pipelines and data models. - Write and maintain PySpark and SQL scripts to extract, transform, and load data. - Document and communicate technical solutions to both technical and non-technical audiences. - Stay up-to-date with new AWS data technologies and evaluate their impact on our existing systems. What are we looking for? - Bachelor's degree in Computer Science, Engineering, or a related field. - 3+ years of experience working with PySpark and SQL. - 2+ years of experience building and maintaining data pipelines using Amazon EMR or Amazon Glue. - 2+ years of experience with data modeling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, and Presto. - 1+ years of experience building and maintaining the orchestration of data pipelines using Airflow. - Strong problem-solving and troubleshooting skills. - Excellent communication and collaboration skills. - Ability to work independently and within a team environment. You are preferred if you have : - AWS Data Analytics Specialty Certification. - Experience with Agile development methodology.

Mumbai

Mactores - Senior Data Engineer - AWS (3-5 yrs)

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. Mactores is seeking an AWS Data Engineer (Senior) to join our team. The ideal candidate will have extensive experience in PySpark and SQL, and have worked with data pipelines using Amazon EMR or Amazon Glue. The candidate must also have experience in data modeling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, Presto, and orchestration experience using Airflow. What you will do ? - Develop and maintain data pipelines using Amazon EMR or Amazon Glue. - Create data models and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, and Presto. - Build and maintain the orchestration of data pipelines using Airflow. - Collaborate with other teams to understand their data needs and help design solutions. - Troubleshoot and optimize data pipelines and data models. - Write and maintain PySpark and SQL scripts to extract, transform, and load data. - Document and communicate technical solutions to both technical and non-technical audiences. - Stay up-to-date with new AWS data technologies and evaluate their impact on our existing systems. What are we looking for? - Bachelor's degree in Computer Science, Engineering, or a related field. - 3+ years of experience working with PySpark and SQL. - 2+ years of experience building and maintaining data pipelines using Amazon EMR or Amazon Glue. - 2+ years of experience with data modeling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, and Presto. - 1+ years of experience building and maintaining the orchestration of data pipelines using Airflow. - Strong problem-solving and troubleshooting skills. - Excellent communication and collaboration skills. - Ability to work independently and within a team environment. You are preferred if you have - AWS Data Analytics Specialty Certification - Experience with Agile development methodology 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.

Data Engineer - ETL/PySpark (5-10 yrs)

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. Mactores is seeking an AWS Data Engineer (Senior) to join our team. The ideal candidate will have extensive experience in PySpark and SQL, and have worked with data pipelines using Amazon EMR or Amazon Glue. The candidate must also have experience in data modeling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, Presto, and orchestration experience using Airflow. What you will do? - Develop and maintain data pipelines using Amazon EMR or Amazon Glue. - Create data models and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, and Presto. - Build and maintain the orchestration of data pipelines using Airflow. - Collaborate with other teams to understand their data needs and help design solutions. - Troubleshoot and optimize data pipelines and data models. - Write and maintain PySpark and SQL scripts to extract, transform, and load data. - Document and communicate technical solutions to both technical and non-technical audiences. - Stay up-to-date with new AWS data technologies and evaluate their impact on our existing systems. What are we looking for? - Bachelor's degree in Computer Science, Engineering, or a related field. - 3+ years of experience working with PySpark and SQL. - 2+ years of experience building and maintaining data pipelines using Amazon EMR or Amazon Glue. - 2+ years of experience with data modeling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, and Presto. - 1+ years of experience building and maintaining the orchestration of data pipelines using Airflow. - Strong problem-solving and troubleshooting skills. - Excellent communication and collaboration skills. - Ability to work independently and within a team environment. You are preferred if you have - AWS Data Analytics Specialty Certification - Experience with Agile development methodology

Mactores - Senior AWS Data Engineer (4-7 yrs)

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. We are looking for a DevOps Engineer with expertise in infrastructure as a code, configuration management, continuous integration, continuous deployment, automated monitoring for big data workloads, large enterprise applications, customer applications, and databases. You will have hands-on technology expertise coupled with a background in professional services and client-facing skills. You are passionate about the best practices of cloud deployment and ensuring the customer expectation is set and met appropriately. If you love to solve problems using your skills, then 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? - Automate infrastructure creation with Terraform, AWS Cloud Formation - Perform application configuration management, and application-deployment tool enabling infrastructure as code. - Take ownership of the Build and release cycle of the customer project. - Share the responsibility for deploying releases and conducting other operations maintenance. - Enhance operations infrastructures such as Jenkins clusters, Bitbucket, monitoring tools (Consul), and metrics tools such as Graphite and Grafana. - Provide operational support for the rest of the Engineering team help migrate our remaining dedicated hardware infrastructure to the cloud. - Establish and maintain operational best practices. - Participate in hiring culturally fit engineers in the organization, help engineers make their career paths by consulting with them. - Design the team strategy in collaboration with founders of the organization. What are we looking for? - 4+ years of experience in using Terraform for IaaC - 4+ years of configuration management and engineering for large-scale customers, ideally supporting an Agile development process. - 4+ years of Linux or Windows Administration experience. - 4+ years of version control systems (git), including branching and merging strategies. - 2+ Experience in working with AWS Infrastructure, and platform services. - 2+ Experience in cloud automation tools (Ansible, Chef). - Exposure to working on container services like Kubernetes on AWS, ECS, and EKS - You are extremely proactive at identifying ways to improve things and to make them more reliable. You will be preferred if - Expertise in multiple cloud services provider: Amazon Web Services, Microsoft Azure, Google Cloud Platform - AWS Solutions Architect Professional or Associate Level Certificate - AWS DevOps Professional Certificate

Mactores - AWS DevOps Engineer - Terraform (5-13 yrs)

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