{"id":3109203,"url":"https://alion.io/job/grid-dynamics-senior-data-enginner","title":"Senior Data Enginner","company":{"id":1625,"name":"Grid Dynamics","domain":"griddynamics.com","url":"https://alion.io/company/grid-dynamics-poland","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":37000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-22T17:19:23Z","employer_posted_date":null,"last_verified_at":"2026-10-22T17:19:23Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"We are looking for an experienced Azure Databricks Data Engineer with strong hands-on expertise in Azure Cloud, Databricks, Azure Data Factory, Apache Spark, SQL, and Python. The ideal candidate will be responsible for developing, maintaining, and supporting scalable data engineering solutions while working closely with business and technical teams.\n\nThe candidate should also have hands-on experience with AI-powered coding assistants and be comfortable leveraging these tools to improve development productivity, code quality, debugging, and automation.\n\nResponsibilities\n\nDesign, develop, and maintain scalable data engineering solutions using Azure Cloud, Databricks, and Azure Data Factory.\nDevelop, configure, schedule, and monitor Databricks Jobs to support business and data processing requirements.\nDevelop and maintain Databricks notebooks using Python/PySpark for data ingestion, transformation, validation, and processing.\nWork with Databricks Unity Catalog for data access, governance, permissions, and data management.\nDesign and implement data pipelines using Azure Data Factory (ADF).\nDevelop efficient and optimized SQL queries for data extraction, transformation, validation, and analysis.\nUse Apache Spark/PySpark for processing and transforming large volumes of data.\nDevelop automation and data-processing solutions using Python.\nMonitor and troubleshoot Databricks jobs, ADF pipelines, notebooks, and production data issues.\nIdentify and resolve data quality, pipeline failures, performance, and operational issues.\nOptimize Spark jobs, SQL queries, Databricks notebooks, and data pipelines for improved performance and scalability.\nCollaborate with business stakeholders, data engineers, architects, and other technical teams to understand requirements and deliver effective solutions.\nParticipate in code reviews and follow established coding, testing, documentation, and deployment standards.\nUse AI coding assistants such as GitHub Copilot or similar tools to accelerate development, generate and review code, debug issues, refactor code, and improve developer productivity.\nEnsure solutions are secure, reliable, scalable, and aligned with Azure and data engineering best practices.\nSupport production deployments, incident resolution, and continuous improvement of data engineering solutions.\nMaintain technical documentation for data pipelines, Databricks jobs, notebooks, and implemented solutions.\n\nRequirements\n\nHands-on experience with Azure cloud\nExperience with Databricks (experience in creating jobs, working with unity catalog, supporting business through notebooks)\nExperience with Azure Data Factory\nHands-on experience in SQL\nExperience with Apache Spark\nHands-on experience in Python\nHands-on experience with AI coding assistants\n\nWe offer\n\nOpportunity to work on bleeding-edge projects\nWork with a highly motivated and dedicated team\nCompetitive salary\nFlexible schedule\nBenefits package - medical insurance, sports\nCorporate social events\nProfessional development opportunities\nWell-equipped office\n\nAbout Us\n\nGrid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. 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