{"id":570860,"url":"https://alion.io/job/barclays-aws-data-engineer","title":"AWS Data Engineer","company":{"id":12541,"name":"Barclays","domain":"home.barclays","url":"https://alion.io/company/barclays-uk","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":95,"open_postings":250,"ghost_share":0.012,"stale_share":0.28,"repost_share":0.132,"time_to_fill_p50_days":13,"computed_at":"2026-10-17T05:46:00Z"}},"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":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19500,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":59},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Alation","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"ETL/ELT","optional":false},{"name":"IAM","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true},{"name":"Unix","optional":true}],"status":"live","first_seen_at":"2026-09-08T00:00:00Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-18T02:40:43Z","board_verified":true,"closed_at":null,"days_open":40,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":40},"description":"Job Description\nPurpose of the role\nTo build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.\nAccountabilities\nBuild and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.\nDesign and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.\nDevelopment of processing and analysis algorithms fit for the intended data complexity and volumes.\nCollaboration with data scientist to build and deploy machine learning models.\nAnalyst Expectations\nTo perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.\nRequires in-depth technical knowledge and experience in their assigned area of expertise\nThorough understanding of the underlying principles and concepts within the area of expertise\nThey lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.\nIf the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.\nOR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate.\nWill have an impact on the work of related teams within the area.\nPartner with other functions and business areas.\nTakes responsibility for end results of a team’s operational processing and activities.\nEscalate breaches of policies / procedure appropriately.\nTake responsibility for embedding new policies/ procedures adopted due to risk mitigation.\nAdvise and influence decision making within own area of expertise.\nTake ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.\nMaintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.\nDemonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.\nMake evaluative judgements based on the analysis of factual information, paying attention to detail.\nResolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.\nGuide and persuade team members and communicate complex / sensitive information.\nAct as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.\nAll colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.\nJoin us as an AWS Data Engineer Barclays, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences.\nTo be successful as an AWS Data Engineer you should have experience with: -\n5+ years of experience in developing, testing and maintaining applications on AWS Cloud.\n\nStrong hands-on experience with the AWS Data Analytics stack (Amazon S3, AWS Glue, Athena, Lambda, IAM, Lake Formation, KMS, STS, and Step Functions), with a proven ability to build, test, and support secure, scalable, and well-governed data pipelines.\n\nFirsthand experience in Airflow and PySpark and strong knowledge of Python.\n\nDesign and implement scalable and efficient data transformation/storage solutions using Snowflake.\n\nExperience in Data ingestion to Snowflake for different storage format such Parquet, Iceberg, JSON, CSV etc.\n\nExperience in using DBT (Data Build Tool) with snowflake for ELT pipeline development.\n\nExperience in Writing advanced SQL and PL SQL programs.\n\nExperience in AWS data pipeline development.\n\nHandsOn Experience for building reusable components using Snowflake and AWS Tools/Technology.\n\nMust have completed two major projects.\n\nExposure to data governance or lineage tools such as Immuta and Alation is added advantage.\n\nExperience in using Orchestration tools such as Apache Airflow or Snowflake Tasks is added advantage.\n\nKnowledge on Ab Initio ETL tool is a plus.\n\nHands on experience in Unix scripting is a plus.\n\nAutomation based on tools like selenium, java is a plus.\n\nSome other highly valued skills may include: -\nEngage stakeholders, gather requirements/user stories, and translate them into ETL components.\n\nUnderstand infrastructure setup and provide solutions independently or in collaboration with teams.\n\nGood knowledge of Data Marts and Data Warehousing concepts.\n\nExcellent analytical and people skills.\n\nImplement a cloud-based enterprise data warehouse using multiple platforms, including Snowflake and NoSQL, to develop data movement strategies.\n\nYou may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.\nThis role is based in Pune and Chennai.","description_format":"text","description_chars":6004,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Cards & Card Issuing","Wealth Management & Financial Advisors","Investment Banking & M&A 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