{"id":201371,"url":"https://alion.io/job/epam-systems-senior-data-software-engineer-big-data-engineer","title":"Senior Data Software Engineer (Big Data Engineer)","company":{"id":92,"name":"EPAM Systems","domain":"epam.com","url":"https://alion.io/company/epam-systems","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"HeadHunter","truth_index":{"grade":"D","score":50,"open_postings":66,"ghost_share":0.788,"stale_share":0,"repost_share":0.182,"time_to_fill_p50_days":31,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_regions","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Astana, Kazakhstan"],"countries":["KZ"],"hiring_countries":["RU","BY","KZ","KG","AM"],"hiring_countries_total":5,"salary":null,"salary_estimate":{"min_usd":15500,"max_usd":41000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Java","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Databricks","optional":true}],"status":"live","first_seen_at":"2026-10-15T05:53:34Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-11-05T16:44:11Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ghost","repost_count":3,"flags":["repost","company_stale"],"days_open":22},"description":"We are seeking an open-minded Senior Data Software Engineer to drive the development and maintenance of our data-driven architecture.\n In this role, you will work on developing pipelines to build business-related data products and designing cloud-based platform solutions to support DataHub functionality. If you’re passionate about shaping the future of data engineering and thrive in an environment where innovation and collaboration are key, we invite you to join us.\n This position offers remote setup with the flexibility to work from any location in Kazakhstan, whether it's your home or well-equipped offices in Astana, Almaty or Karaganda.\n Responsibilities\n Design and implement data pipelines\n\n Perform data ingestion processes to integrate existing data sources into the new platform\n\n Participate in platform engineering, including cloud-based solutions to support the architecture, such as ingestion frameworks, platform orchestrators and exploratory environments\n\n Conduct MLOps activities to build production-ready cloud-based solutions to support existing ML pipelines\n\n Take part in the design of on-premises to cloud migration activities\n\n Requirements\n Strong production experience in Java, Python or Scala\n\n Proficiency in SQL\n\n Understanding of common Big Data challenges (splitability, massive parallel processing, load-balancing, data locality, streaming, etc.) and relevant technologies (Apache Spark, Kafka, NoSQL databases)\n\n Familiarity with data modeling concepts such as relational/dimensional data, SCD and snowflaking\n\n Hands-on production experience with any major cloud provider: Azure, AWS or GCP\n\n B2 English level, both verbal and written\n\n Hands-on production experience with any major cloud provider: Azure, AWS or GCP\n\n Nice to have\n Competency in common data-related architectures such as Data Hub or Data Lake\n\n Knowledge of Databricks\n\n We offer/Benefits\n We connect like-minded people:\n Delivering innovative solutions to industry leaders, making a global impact \n Enjoyable working environment, whether it is the vibrant office or the comfort of your own home \n Opportunity to work abroad for up to two months per year \n Relocation opportunities within our offices in 55+ countries\n Corporate and social events \n We invest in your growth:\n Leadership development, career advising, soft skills and well-being programs \n Certifications, including GCP, Azure and AWS\n Unlimited access to LinkedIn Learning and Udemy\n Free English classes with certified teachers \n Discounts in local language schools, including online courses for the Kazakh language\n We cover it all:\n Participation in the Employee Stock Purchase Plan \n Monetary bonuses for engaging in the referral program \n Medical & family care package \n Six trust days per year (sick leave without a medical certificate) \n Coverage of psychology sessions of your choice\n Benefits package (sports activities, a variety of stores and services)\n EPAM is a team of technologists and innovators united by a passion for technology. In Kazakhstan, we operate across all cities with offices in Astana, Almaty, and Karaganda and work with the world's leading companies from different industries. 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