Data Engineer

1 semana atrás


Brasil Palo IT Tempo inteiro

PALO IT is a global innovation consultancy and Agile software development company dedicated to helping organizations leverage technology as a force for positive change. Our team collaborates with clients to rapidly launch innovative products and services, create new business models, leadership, and culture for the future.

Our Impact in PALO IT

We're committed to helping businesses transform our world for the better. As a World Economic Forum (WEF) New Champion and a B Corp-certified company in México, Singapore, and Hong Kong, we're taking action to meet the following objectives:

  • Become a climate net-zero company
  • Attain 50% of revenue from projects with a positive impact
  • Train 100% of our workforce on impact
  • Achieve B Corp certification among all 11 offices across the globe
  • Attain 90% happy employees at PALO IT

As a trusted partner, our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs, and start-ups who aim to make an impact, become global leaders, and address the world's most complex challenges.

Your Role in Our Team

As a Data Engineer, you will play a critical role in supporting and enhancing our data-driven culture throughout the organization. You will collaborate with the Decision Science team to build solutions that enable teams to explore large datasets, experiment with and validate hypotheses, develop and optimize machine learning models, and use these models for real-time parametric decision-making.

Main Responsibilities
  • Maintain and develop the data flow on the Big Data platform
  • Design and build robust and scalable data pipelines
  • Integrate and manage large volumes of data from various sources
  • Develop and optimize data processing jobs using Hadoop, Spark, and other related tools
  • Configure and maintain workflow orchestration tools like Apache Airflow
  • Ensure data quality, integrity, and security
  • Collaborate with multidisciplinary teams to identify data requirements and provide appropriate technical solutions
  • Document processes, architectures, and data flows

In this role, you will have the opportunity to work with cutting-edge technologies and collaborate with a talented team of innovators, designers, and technologists.

What You Need to Succeed
  • Degree in Computer Science, Computer Engineering, or a related field
  • Demonstrable experience using Hadoop, Sqoop, Spark, Airflow, Avro, Python, ELK, Oracle Database, PostgreSQL, and Hive
  • Strong knowledge of relational and non-relational databases
  • Experience in implementing and maintaining data pipelines in Big Data environments
  • Programming skills in Python
  • Knowledge of log monitoring and analysis tools like ELK
  • Ability to solve complex problems and work independently and as part of a team
  • Good communication skills and ability to document technical processes
  • Advance English B2 or above

We offer a competitive salary range of $120,000 - $180,000 per year, depending on your location and experience. If you're passionate about making a positive impact and want to be part of a dynamic and innovative team, apply now


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