Senior Data Engineer
hace 4 días
**Responsibilities**: (The primary tasks, functions and deliverables of the role)Design and build reusable components, frameworks and libraries at scale to support analytics productsDesign and implement product features in collaboration with business and Technology stakeholdersIdentify and solve issues concerning data management to improve data qualityClean, prepare and optimize data for ingestion and consumptionCollaborate on the implementation of new data management projects and re-structure of the current data architectureImplement automated workflows and routines using workflow scheduling toolsBuild continuous integration, test-driven development and production deployment frameworksCollaboratively review design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standardsAnalyze and profile data for designing scalable solutionsTroubleshoot data issues and perform root cause analysis to proactively resolve product and operational issues
**Requisitos**:
**Requirements**: Experience:Strong understanding of data structures and algorithmsStrong understanding of solution and technical designHas a strong problem solving and analytical mindset?Able to influence and communicate effectively, both verbally and written, with team members and business stakeholdersAble to quickly pick up new programming languages, technologies, and frameworksAdvanced experience building cloud scalable, real time and high-performance data lake solutionsIn-depth understanding of micro service architectureStrong understanding of developing complex data solutionsExperience working on end-to-end solution designAble to lead others in solving complex problems by taking a broad perspective to identify innovative solutionsWilling to learn new skills and technologiesHas a passion for data solutions Required and Preferred Skill Sets:1 -2 years of hands-on experience in AWS - EMR [Hive, Pyspark], S3, Athena or any other equivalent cloud; Ability to solve complex problems1-2 years of hands-on experience Spark Batch Processing and some familiarity with Spark Structured Streaming; Ability to solve complex issues1-2 years’ experience working experience with Hadoop stack dealing huge volumes of data in a scalable fashion2-3 years of hands-on experience with SQL, ETL, data transformation and analytics functions; Ability to solve complex problems2-3 years of hands-on Python experience including Batch scripting, data manipulation, distributable packages; Ability to solve complex problems2-3 years’ experience working with batch orchestration tools such as Apache Airflow or equivalent, preferable Airflow2-3 years working with code versioning tools such as GitHub or BitBucket; expert level understanding of repo design and best practices2-3 years working with deployment automation tools such as Jenkins and familiarity with containerization concepts such as Docker and Kubernetes2-3 years of hands-on experience designing and building ETL pipelines; expert with data ingest, change data capture, data quality; hand on experience with API development; some exposure to Nifi or Kafka2-3 years designing and developing relational database objects; knowledgeable on logical and physical data modelling concepts; some experience with SnowflakePreferred 1+ years of experience supporting Tableau or Cognos use casesFamiliarity with Agile; working experience preferred Education:Bachelor's degree in IT or related fieldOne of the following alternatives/optional may be accepted: o PhD or Law + 3 yrs; o Masters + 4 yrs; o Associates + 6 yrs;
Beneficios
Salary to be agreed according to profile.
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