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Posted 5 months ago
Requirements and responsibilities
What you will do?Design data architecture for high volume, velocity, and variety of data sets.Define the technology stack for the project for real-time, batch processing, data warehouse, and end-user querying.Explore new technologies in data engineering and learn new techniques to solve technical problems.Collaborate with many teams - engineering and business, to build better data products and servicesWrite efficient code in modern Data Engineering technologiesReal-time: Apache Kafka, Amazon KinesisETL Tools: AWS Glue, PySpark, Presto, Amazon EMREnd-user query / Analysis Services: Presto, Hive, Apache KylinData warehouse: Amazon Redshift, SnowFlake, ClickHouseWhat we are looking for?Bachelor's degree in Computer Science, Engineering, or a related field.3+ Years in Hadoop based distributed computing (PySpark, Presto)2+ Years in at least one ETL tool (Informatica, Talend, Matillion)4 + Years in at least one Programming language (Python, Java, Scala)3 + Years in at least one Data warehouse (Amazon Redshift, SnowFlake)2 + Years in Real-time processing engines (Storm, Spark Streaming, Flink)3+ Years in Writing SQL queriesHands-on experience in data modeling, data visualization, and pipeline design and developmentExperience in working independently and driving projects end to end, strong analytical skills.You will be preferred if you havePrior experience in working on AWS, GCP, and AzureUnderstanding on DataOps EngineeringAWS Certified Big Data – SpecialtyCloudera or Hortonworks Certified Big Data EngineerLife at MactoresWe 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.Be one step aheadDeliver the bestBe boldPay attention to the detailEnjoy the challengeBe curious and take actionTake leadershipOwn itDeliver valueBe collaborativeWe would like you to read more details about the work culture on https://mactores.com/careersThe Path to Joining the Mactores TeamAt 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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