{"id":1484727,"url":"https://alion.io/job/deutsche-bank-bigdata-hadoopscala-engineer-avp","title":"BigData-Hadoop/Scala Engineer, AVP","company":{"id":8385,"name":"Deutsche Bank","domain":"db.com","url":"https://alion.io/company/deutsche-bank","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":231,"ghost_share":0.013,"stale_share":0.753,"repost_share":0.052,"time_to_fill_p50_days":32,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Backend","role_family":"Backend","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":18500,"max_usd":47000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":156},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Angular","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"JavaScript","optional":true},{"name":"Linux","optional":true},{"name":"Python","optional":true},{"name":"TypeScript","optional":true},{"name":"Unix","optional":true}],"status":"live","first_seen_at":"2026-09-29T22:12:55Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-30T23:24:57Z","board_verified":true,"closed_at":null,"days_open":31,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":31},"description":"Job Description:\nJob Title: BigData-Hadoop/Scala Engineer, AVP\nLocation: Pune, India\nRole Description\nAn Engineer is responsible for designing and developing entire engineering solutions to accomplish business goals. Key responsibilities of this role include ensuring that solutions are well architected, with maintainability and ease of testing built in from the outset, and that they can be integrated successfully into the end-to-end business process flow. They will have gained significant experience through multiple implementations and have begun to develop both depth and breadth in a number of engineering competencies. They have extensive knowledge of design and architectural patterns. They will provide engineering thought leadership within their teams, and will play a role in mentoring and coaching of less experienced engineers.\nWhat we’ll offer you\nAs part of our flexible scheme, here are just some of the benefits that you’ll enjoy\nBest in class leave policy\nGender neutral parental leaves\n100% reimbursement under childcare assistance benefit (gender neutral)\nSponsorship for Industry relevant certifications and education\nEmployee Assistance Program for you and your family members\nComprehensive Hospitalization Insurance for you and your dependents\nAccident and Term life Insurance\nComplementary Health screening for 35 yrs. and above\nYour key responsibilities\nDesign, develop, and maintain high-performance, fault-tolerant data pipelines using modern big data technologies.\nImplement data processing solutions to extract, transform, and load (ETL) data from various sources into our data platforms.\nCollaborate with data scientists, analysts, and other engineers to understand data requirements and deliver solutions that meet business needs.\nOptimize data processing jobs for performance and cost efficiency.\nEnsure data quality, integrity, and security across all data assets.\nParticipate in code reviews, contribute to technical discussions, and mentor junior team members.\nStay current with emerging technologies and best practices in the big data ecosystem.\nYour skills and experience\nMust-Have Skills\nStrong proficiency in Java and/or Scala for big data application development.\nExtensive experience with Apache Spark for large-scale data processing.\nDemonstrable knowledge and hands-on experience with Google Cloud Platform (GCP) services, specifically:\nAirflow for workflow orchestration.\nDataproc for managed Spark/Hadoop clusters.\nBigQuery for data warehousing and analytics.\nSolid understanding of data warehousing concepts, ETL/ELT principles, and data modeling.\nExperience with version control systems (e.g., Git).\nStrong problem-solving skills and the ability to troubleshoot complex data issues.\nExcellent communication and collaboration skills.\nUnderstanding of Angular/React frameworks.\nGood-to-Have Skills:\nProficiency in Python for data manipulation, scripting, or data science-related tasks.\nExperience with relational databases, particularly Oracle.\nCompetency in Unix/Linux scripting for automation and system administration tasks.\nFamiliarity with other cloud platforms (e.g., AWS, Azure) is a plus.\nKnowledge of CI/CD pipelines and DevOps practices.\nUnderstanding of data governance and data security best practices.\nExperience working in the financial services industry.\nExperience developing UI using Angular/React.\nProven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.\nHow we’ll support you\nTraining and development to help you excel in your career\nCoaching and support from experts in your team\nA culture of continuous learning to aid progression\nA range of flexible benefits that you can tailor to suit your needs\nAbout us and our teams\nPlease visit our company website for further information:\nhttps://www.db.com/company/company.html\nWe strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.\nTogether we share and celebrate the successes of our people. 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