{"id":2001785,"url":"https://alion.io/job/synechron-data-engineer-pythonpyspark","title":"Data Engineer (Python/PySpark)","company":{"id":5306,"name":"Synechron","domain":"synechron.com","url":"https://alion.io/company/synechron","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":99,"open_postings":27,"ghost_share":0,"stale_share":0.222,"repost_share":0,"time_to_fill_p50_days":18,"computed_at":"2026-10-10T05:45:15Z"}},"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16500,"max_usd":34000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":54},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"Jupyter Notebook","optional":false},{"name":"Pandas","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-07T11:47:02Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-10T21:48:00Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Job Title: Data Engineer (Python/PySpark) Experience: 5+ Years Location: Bangalore (BLR GTP)\nJob Description\nWe are looking for a skilled Data Engineer with 5+ years of experience in building Data Marts, ETL pipelines, and large-scale data processing solutions. The ideal candidate should have strong expertise in Python, PySpark, SQL, and Data Warehousing, with experience in managing end-to-end SDLC activities from development to production support.\nKey Responsibilities:\nDesign, develop, and maintain scalable ETL/Data Pipeline solutions using Python and PySpark.\nBuild and optimize Data Marts and data transformation processes.\nPerform end-to-end SDLC activities including development, UAT support, bug fixes, production deployment, and post-production support.\nAnalyze and debug data issues using Oracle SQL, PySpark, and data analysis techniques.\nWork with structured, semi-structured, and unstructured data.\nCollaborate with cross-functional teams to ensure data quality, testing, and CI/CD implementation.\nSupport production environments and troubleshoot data pipeline issues.\nRequired Skills:\nStrong hands-on experience in Python, PySpark, Spark, Pandas.\nExpertise in ETL development and Data Warehousing concepts.\nStrong knowledge of Oracle SQL, data analysis, and query optimization.\nExperience with Hadoop, MapReduce, Hive, SQL and NoSQL databases.\nFamiliarity with Jupyter Notebook, CI/CD pipelines, testing, and data validation.\nGood understanding of software engineering best practices and coding standards.\nBanking domain experience is highly preferred.\nTechnology Stack:\nPython\nPySpark / Spark\nSQL & NoSQL Databases\nOracle\nHadoop / Hive / MapReduce\nPandas\nJupyter Notebook\nCI/CD Tools\nPreferred Domain: Banking / Financial Services.\nS YNECHRON’S DIVERSITY & INCLUSION STATEMENT\nDiversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. 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