Senior Data Engineer (Java/Scala, Spark, AWS) w… - Jobeax
Opis oferty
Senior Data Engineer (Java/Scala, Spark, AWS) w Warszawa, Polska
KontraktUmowa czasowa lub freelancing
$2k USD
Poland, Warszawa
Senior Data Engineer (Java/Scala, Spark, AWS) w Warszawa, Polska is listed on Jobeax. Browse 110,000+ vacancies available.
We are seeking a Senior Data Engineer to design, build, and maintain large-scale data pipelines and distributed processing systems that power AI-driven initiatives. In this role, you will leverage your expertise in AWS, Spark, and modern data architectures to deliver secure, scalable, and highly available data solutions supporting Gen AI and ML applications. Responsibilities Design, build, and maintain large-scale data pipelines and distributed processing systems using SparkDevelop and support data platforms that enable AI/ML and Generative AI applicationsArchitect and implement solutions within AWS cloud environments using cloud-native patternsBuild and optimize ETL/ELT workflows to support analytical and operational use casesImplement data modeling strategies aligned with modern data lakehouse architecturesEnsure data quality, governance, and monitoring across all data assetsDeliver secure, scalable, and highly available data solutions following operational best practicesCollaborate with cross-functional teams to support AI-driven business initiativesWrite advanced SQL queries and production-grade code in Java or Scala Requirements 5+ years of experience in Data Engineering with exposure to Gen AI/ML-based applicationsBackground in building and maintaining large-scale data pipelines and distributed processing systems using Spark with Java or ScalaFamiliarity with AI/ML, Generative AI, or data platforms supporting AI-driven initiativesExpertise in AWS cloud environments and cloud-native architecturesAdvanced proficiency in SQLSkills in data modeling and modern data lakehouse architecturesUnderstanding of data quality, governance, monitoring, and operational best practicesCompetency in building secure, scalable, and highly available data solutionsShowcase of ETL/ELT development experienceProficiency in English at an Upper-Intermediate level (B2) or higher Nice to have Hands-on experience with Databricks or Snowflake, with the ability to work across modern cloud-based data platforms (experience with both is advantageous)Background in Financial Services We offer We gather like-minded people:Top tech minds driving innovation in AI, cloud and digital platform modernizationSupportive team and agile, startup-like cultureHybrid by design mode and opportunity to work remotely within PolandChance to work abroad for up to 60 days annuallyBusiness-driven relocation opportunitiesWe provide growth opportunities:Career development programsThought leadership, mentoring, soft skills and well-being programsCertification (Anthropic, Gemini, GCP, Azure, AWS)English classesWe cover it all:Stable payParticipation in the Employee Stock Purchase Plan with a 15% discountBenefits package (health insurance, multisport, shopping vouchers)Referral bonuses up to $2,000Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and moreCorporate, social and well-being eventsPlease, note:Benefits listed above are available to employees onlyWe are open for working with Contractors. Terms of B2B cooperation agreements are agreed individuallyWe will reach out to selected candidates exclusively EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.
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... networking events, coding challenges, and company parties for different occasions. Qualifications - Educational Background: Bachelor’s or master’s degree in CS, Engineering, IT, or a related field. - Very good knowledge of English and Polish. - Experience designing and operating scalable, reliable cloud platforms on AWS. - Strong ...
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