{"id":3219280,"url":"https://alion.io/job/synechron-data-engineer-5","title":"Data Engineer","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":98,"open_postings":21,"ghost_share":0,"stale_share":0.238,"repost_share":0.048,"time_to_fill_p50_days":20,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"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":14000,"max_usd":39000,"period":"year","method":"role_country_seniority_unknown","sample_n":171},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"IAM","optional":false},{"name":"Jenkins","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"closed","first_seen_at":"2026-10-23T00:00:00Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-29T08:27:02Z","board_verified":false,"closed_at":"2026-10-29T08:27:02Z","days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"Role: Senior Data Engineer\n\nRole Overview :\nExperienced Data Engineer to analyze, design and develop enterprise-scale data pipelines across legacy and strategic cloud data platforms.\nA key component of the position is analyzing existing data pipelines, particularly Omnia-based Spark pipelines, understanding the underlying business and transformation logic, and translating that logic into scalable data solutions on modern cloud platforms. The role requires strong hands-on experience with AWS, Snowflake, dbt, Airflow, PySpark, Python and advanced SQL.\nTechnical Expertise :\nStrong hands-on experience designing, developing and supporting scalable enterprise data pipelines.\nStrong Spark-etl experience, including the ability to analyze existing Omnia pipelines, understand their processing logic and derive new transformation and business rules.\nStrong working knowledge of AWS services, including S3, Glue, EMR, Lambda, Athena, Step Functions, SQS, IAM, Secrets Manager and CloudWatch, combined with hands-on experience in orchestrating data pipelines using Apache Airflow.\nPractical experience with Snowflake, covering data ingestion, data modelling, transformation and performance optimization.\nExperience using dbt to develop data models, incremental processing, reusable macros, automated tests, documentation and dependency management.\nExcellent SQL skills, with experience in complex data transformations, query optimization, reconciliation and understanding existing business logic.\nFamiliarity with Git, automated testing, CI/CD, Jenkins and DevSecOps practices within a data engineering environment.\nGood Python programming skills for data processing, automation, and reusable framework components.\nPrevious CBA experience, particularly with Omnia or CBA data platforms and engineering standards, is highly desirable.\nKey Responsibilities\nConduct detailed analysis of existing end-to-end data pipelines across multiple platforms, with a particular focus on Omnia - PySpark-based processing.\nReview existing source code, SQL, transformation rules, mappings and data flows to understand the current business and technical logic.\nDerive, document, and implement new transformation logic based on the analysis of existing pipelines and business requirements.\nDesign, develop and maintain reliable, scalable, and reusable data pipelines using AWS, Snowflake and dbt.\nDevelop batch and, where required, event-driven data processing solutions using cloud-native and distributed data technologies.\nTranslate existing Omnia data processing logic into strategic cloud-based data engineering solutions.\nBuild ingestion, transformation, enrichment and data integration pipelines across data lakes, data warehouses and cloud lakehouse platforms.\nDevelop complex and performance-optimized SQL for data transformation, reconciliation, validation and analytical processing.\nAnalyze end-to-end data flows from source capture through transformation, enrichment and downstream consumption.\nWork with data designers, product owners, and subject matter experts to translate business requirements into technical data rules and durable engineering solutions.\nImplement data quality, reconciliation and balancing controls across data pipelines.\nTroubleshoot data pipeline failures, transformation issues, data discrepancies and performance bottlenecks across multiple environments.\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. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.\nAll employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.\nCandidate Application Notice","description_format":"text","description_chars":4504,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Software & Embedded Finance","IT Consulting & Digital Transformation","Cloud Consulting & Migration","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-10-25T01:58:18Z"},{"event":"close","at":"2026-10-29T08:27:02Z"}],"visa":[],"liveness":null,"pay":null,"html_url":"https://alion.io/job/synechron-data-engineer-5","json_url":"https://alion.io/job/synechron-data-engineer-5.json","meta":{"generated_at":"2026-11-01T04:41:55Z","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_verified","counted_by":"address","units_charged":1,"used_today":7201,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"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":5306},"rest":"https://alion.io/mcp/rest/get_company?id=5306"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsynechron-data-engineer-5"},{"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%2Fsynechron-data-engineer-5"},{"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%2Fsynechron-data-engineer-5"},{"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/synechron-data-engineer-5\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsynechron-data-engineer-5"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3219280}},{"tool":"search_jobs","arguments":{"company":"synechron.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3219280},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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