{"id":2575677,"url":"https://alion.io/job/exl-project-manager-3","title":"Project Manager","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":80,"open_postings":200,"ghost_share":0,"stale_share":0.99,"repost_share":0,"time_to_fill_p50_days":9,"computed_at":"2026-10-22T06:10:10Z"}},"role":"Management","role_family":"Management","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15500,"max_usd":44000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":24},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Greenplum","optional":false},{"name":"Hadoop","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-12T14:45:51Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-22T02:41:40Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Build and operate the data pipelines that feed the Entity Hub. This role lands all six in-scope sources into Fabric, implements standardization and transformation logic, and maintains the data quality checks and monitoring that the entity resolution engine depends on. Reliable, observable ingestion is the foundation the entire programme rests on.\n Work with stakeholders to understand the data requirements to design, develop, and maintain complex ETL processes.\nCreate the data integration and data diagram documentation. \nLead the data validation, UAT and regression test for new data asset creation.\nCreate and maintain data models, including schema design and optimization.\nCreate and manage data pipelines that automate the flow of data, ensuring data quality and consistency.\n Strong knowledge on Python and Pyspark Expectation is to have ability to write Pyspark scripts for developing data workflows. \n\nStrong knowledge on SQL, Hadoop, Hive, Azure, Databricks and Greenplum Expectation is to write SQL to query metadata and tables from different data management system such as, Oracle, Hive, Databricks and Greenplum.\nFamiliarity with big data technologies like Hadoop, Spark, and distributed computing frameworks.\nExpectation is to use Hue and run Hive SQL queries, schedule Apache Oozie jobs to automate the data workflows.\n\nGood working experience of communicating with the stakeholders and collaborate effectively with the business team for data testing.Expectation is to have strong problem-solving and troubleshooting skills.\nExpectation is to establish comprehensive data quality test cases, procedures and implement automated data validation processes.\n\nDegree in Data Science, Statistics, Computer Science or other related fields or an equivalent combination of education and experience.\n5-7 years of experience in Data Engineer.\nProficiency in programming languages commonly used in data engineering, such as Python, Pyspark, SQL.\nExperience in Azure cloud computing platform, such as developing ETL processes using Azure Data Factory, big data processing and analytics with Azure Databricks.\nStrong communication, problem solving and analytical skills with the ability to do time management and multi-tasking with attention to 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