{"id":1739428,"url":"https://alion.io/job/pricewaterhousecoopers-aws-data-engineerbangalore","title":"AWS Data Engineer|Bangalore","company":{"id":5739,"name":"PwC","domain":"pwc.com","url":"https://alion.io/company/pwc","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"C","score":69,"open_postings":2664,"ghost_share":0.509,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":14500,"max_usd":39000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":4,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"AWS Lambda","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Informatica","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Ruby","optional":false},{"name":"SQL","optional":false},{"name":"Unix","optional":false}],"status":"live","first_seen_at":"2024-10-03T00:00:00Z","employer_posted_date":"2024-10-03","last_verified_at":"2026-10-29T04:26:23Z","board_verified":true,"closed_at":null,"days_open":756,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":755},"description":"Line of Service\nAdvisoryIndustry/Sector\nNot ApplicableSpecialism\nData, Analytics & AIManagement Level\nSenior AssociateJob Description & Summary\nA career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.\nJob Title: AWS Data Engineer\nTechnology: AWS (EMR, Redshift, S3, Glue, Kinesis and Lambda), SQL, ETL, Python/Java\nExperience: 4 to 8 years\nJob Location: Bangalore\nJob Description Description of Services # Resources\nand Location\nof work\nData Engineer (a) Work with Amazon's personnel and analysts to understand requirements\nand design solutions based on information provided by Amazon.\n(b) Build highly available distributed systems of data extraction, ingestion, and\nprocessing of large data sets using native Amazon and AWS technologies like\nEMR, Redshift, S3, Glue, Kinesis and Lambda.\n(c) Write SQL and data warehousing queries. Work with developers, TPM and\nPM on the overall end to end design and provide solutions in line with the\ndesign.\n(d) Design, implement and support an analytical data infrastructure providing\nad-hoc access to large datasets and computing power.\n(e) Interface with other technology teams of Amazon to extract, transform, and\nload data from a wide variety of data sources using SQL and AWS big data\ntechnologies.\n(f) Build highly scalable, re-usable programs/scripts using Unix shell, Python,\nRuby, Java etc. which solves data problems.\n(g) Develop integrations on ETL tools like Informatica, AWS Big Data\ntechnologies or any other 3rd party tool.\n(h) Update relevant documentation consisting of designs, technical\nspecifications, and production support documentation.\n(i) Collaborate with Amazon's personnel and analysts and technical architects\nduring the term of engagement.\n(j) Work with Amazon quality assurance / testing resources of Amazon to\ndevelop test scripts and support testing needs.\n(k) Assist in resolving defects identified during testing by either Party; 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