We are seeking an experienced Cloud Data Engineer proficient with at least one hyperscale platform (ideally Azure and/or AWS). The ideal candidate will have hands-on experience in designing and implementing data pipelines, data warehousing solutions, and ETL workflows.
Tasks:
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Design and implement data pipelines and ETL workflows using Azure or AWS services (or relevant).
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Develop and maintain data warehousing solutions on AWS and Azure (or relevant).
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Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
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Build and maintain efficient, scalable, and reliable data architectures for analytics and reporting.
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Work closely with the data analytics team to optimize data storage, processing, and retrieval for reporting and analysis purposes.
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Implement data quality checks and data validation processes to ensure accuracy and consistency of the data.
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Maintain and update data documentation and data dictionaries.
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Troubleshoot and resolve data-related issues in a timely manner.
Requirements:
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Bachelor's degree in Computer Science, Information Systems, or a related field.
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At least 3 years of hands-on experience in cloud data engineering (preferably Azure or AWS).
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Strong proficiency in SQL and Python.
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Solid understanding of data warehousing concepts and technologies.
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Experience in DBT for data transformation and modelling.
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Basic AWS services understanding (EC2, VPC, KMS, CloudWatch).
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Knowledge of data quality checks and validation processes.
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Experience using Docker, and Airflow for deployment, automation, and workflow management (or relevant)
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Excellent problem-solving skills and attention to detail.
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Strong communication and collaboration skills to work with cross-functional teams.
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Advanced analytical abilities for comprehending statistical models while collaborating with Data Scientists.
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Extensive comprehension of distributed computing frameworks and big data systems, coupled with hands-on experience in object-oriented coding.
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Proficiency demonstrated in working with technologies like Spark, Hadoop, MapReduce, HDFS, and related tools.
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Exceptional English proficiency in both spoken and written communication, enabling effective engagement with stakeholders from diverse fields throughout the organization hierarchy.
Nice to have:
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SAP integration interfaces basic understanding (ODP/OData).
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Experience in implementing data pipelines and ETL workflows using AWS services such as S3, Glue, and Lambda (or relevant).
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AWS AppFlow integration pipelines development.
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Databricks deployment and development (Python/SQL).
Offer:
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Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.
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Flexibility regarding working hours.
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Great Place to Work® certified employer.
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Comprehensive online onboarding program with a “Buddy” from day 1.
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Cooperation with top-tier engineers and experts.
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Unlimited access to the Udemy learning platform from day 1.
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Certificate training programs. Lingarians earn 500+ technology certificates yearly.
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Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
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Grow as we grow as a company. 76% of our managers are internal promotions.
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A diverse, inclusive, and values-driven community.
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Autonomy to choose the way you work. We trust your ideas.
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Create our community together. Refer your friends to receive bonuses.
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Activities to support your well-being and health.
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Plenty of opportunities to donate to charities and support the environment.
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Modern office equipment. Purchased for you or available to borrow, depending on your location.
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