{"id":1677530,"url":"https://alion.io/job/ups-senior-data-engineer-data-bricks","title":"Senior Data Engineer - Data Bricks","company":{"id":37664,"name":"UPS","domain":"ups.com","url":"https://alion.io/company/ups","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":97,"open_postings":20,"ghost_share":0,"stale_share":0.3,"repost_share":0.05,"time_to_fill_p50_days":5,"computed_at":"2026-10-06T05:45:30Z"}},"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":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":54},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Kanban","optional":false},{"name":"Looker","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Scala","optional":true}],"status":"closed","first_seen_at":"2026-09-21T00:00:00Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-10-06T23:40:36Z","board_verified":false,"closed_at":"2026-10-06T23:40:36Z","days_open":15,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":15},"description":"Before you apply to a job, select your language preference from the options available at the top right of this page.\nExplore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow-people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.\nJob Description:\nThis position participates in the support of batch and real-time data pipelines utilizing various data analytics processing frameworks in support of data science practices for Marketing and Finance business units. This position supports the integration of data from various data sources, as well as performs extract, transform, load (ETL) data conversions, and facilitates data cleansing and enrichment. This position performs full systems life cycle management activities, such as analysis, technical requirements, design, coding, testing, implementation of systems and applications software. This position participates and contributes to synthesizing disparate data sources to support reusable and reproducible data assets.\nRESPONSIBILITIES\nSupervises and supports data engineering projects and builds solutions by leveraging a strong foundational knowledge in software/application development. He/she is hands on.\nDevelops and delivers data engineering documentation. \nGathers requirements, defines the scope, and performs the integration of data for data engineering projects. \nRecommends analytic reporting products/tools and supports the adoption of emerging technology.\nPerforms data engineering maintenance and support.\nProvides the implementation strategy and executes backup, recovery, and technology solutions to perform analysis.\nPerforms ETL tool capabilities with the ability to pull data from various sources and perform a load of the transformed data into a database or business intelligence platform.\nCodes using programming language used for statistical analysis and modeling such as Python/Spark\nREQUIRED QUALIFICATIONS\nLiterate in the programming languages used for statistical modeling and analysis, data warehousing and Cloud solutions, and building data pipelines. \nProficient in developing notebooks in Data bricks using Python and Spark and Spark SQL.\nStrong understanding of a cloud services platform (e.g., GCP, or AZURE, or AWS) and all the data life cycle stages. Azure is preferred.\nProficient in using Azure Data Factory and other Azure features such as LogicApps.\nPreferred to have knowledge of Delta lake, Lakehouse and Unity Catalog concepts.\nStrong understanding of cloud-based data lake systems and data warehousing solutions.\nHas used AGILE concepts for development, including KANBAN and Scrums • Strong understanding of the data interconnections between organizations’ operational and business functions. • Strong understanding of the data life cycle stages - data collection, transformation, analysis, storing the data securely, providing data accessibility • Strong understanding of the data environment to ensure that it can scale for the following demands: Throughput of data, increasing data pipeline throughput, analyzing large amounts of data, Real-time predictions, insights and customer feedback, data security, data regulations, and compliance. • Strong knowledge of algorithms and data structures, as well as data filtering and data optimization. • Strong understanding of analytic reporting technologies and environments (e.g., Power BI, Looker, Qlik, etc.) • Understanding of distributed systems and the underlying business problem being addressed, as well as guides team members on how their work will assist by performing data analysis and presenting findings to the stakeholders. • Bachelor’s degree in MIS, mathematics, statistics, or computer science, international equivalent, or equivalent job experience.\nREQUIRED SKILLS\n3 years of experience with Databricks, Apache Spark, Python, and SQL\nPREFERRED SKILLS\nDeltaLake Unity Catalog, R, Scala, Azure Logic Apps, Cloud Services Platform (e.g., GCP, or AZURE, or AWS), and AGILE concepts.\n Employee Type:\nPermanentUPS is committed to providing a workplace free of discrimination, harassment, and retaliation.","description_format":"text","description_chars":4395,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Logistics","Freight Forwarding","Customs Brokerage"],"lifecycle":[{"event":"open","at":"2026-10-02T08:56:11Z"},{"event":"close","at":"2026-10-03T18:18:12Z"},{"event":"reopen","at":"2026-10-03T22:48:17Z"},{"event":"close","at":"2026-10-06T23:40:36Z"}],"visa":[],"liveness":null,"pay":null,"html_url":"https://alion.io/job/ups-senior-data-engineer-data-bricks","json_url":"https://alion.io/job/ups-senior-data-engineer-data-bricks.json","meta":{"generated_at":"2026-10-07T00:59:25Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1641,"day_limit":5000,"remaining_today":3359,"minute_limit":60,"resets_at":"2026-10-08T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":37664},"rest":"https://alion.io/mcp/rest/get_company?id=37664"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fups-senior-data-engineer-data-bricks"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fups-senior-data-engineer-data-bricks"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fups-senior-data-engineer-data-bricks"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ups-senior-data-engineer-data-bricks\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fups-senior-data-engineer-data-bricks"}]}