{"id":2527556,"url":"https://alion.io/job/saarthee-data-engineer","title":"Data Engineer","company":{"id":3808053,"name":"Saarthee","domain":"saarthee.ai","url":"https://alion.io/company/saarthee-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":null},"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":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15000,"max_usd":37000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Informatica","optional":false},{"name":"MLFlow","optional":false},{"name":"MS SQL","optional":false},{"name":"NLP","optional":false},{"name":"Pandas","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"SQLAlchemy","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-08T09:33:08Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-10-15T02:53:13Z","board_verified":true,"closed_at":null,"days_open":36,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":36},"description":"About Saarthee:\nSaarthee is a Global Strategy, Analytics, Technology and AI consulting company, where our passion for helping others fuels our approach and our products and solutions. Our diverse and global team work with one objective in mind: Our Customers’ Success. At Saarthee, we are passionate about guiding organizations towards insights fueled success. That’s why we call ourselves Saarthee-inspired by the Sanskrit word ‘Saarthi’, which means charioteer, trusted guide, or companion. Cofounded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India.\nPosition Summary:\nAs a Data Engineer, you will be responsible for designing and developing robust data delivery systems within our data warehouse infrastructure. This data will be used for generating visual dashboards and reports that empower teams to gain deeper insights into trends and opportunities. We are looking for a Data Engineer with hands-on experience implementing technical solutions as part of a greater data transformation strategy.\nThis role is responsible for the sourcing, manipulation, and delivery of data from enterprise business systems - including Salesforce, Pardot, Google Analytics, and SQL Server - to our data lake and data warehouse, using Python and modern data pipeline frameworks.\nYour Role Responsibilities and Duties:\nDesign and implement scalable ETL/ELT pipelines using Azure Data Factory, Databricks, and Synapse Analytics.\nDevelop and manage data warehouse architectures with effective data modelling, transformation logic, and schema design.\nBuild and maintain data pipelines that ingest from Salesforce CRM, Pardot marketing automation, Google Analytics, and SQL Server databases into the data lake.\nLeverage Python for scripting, automation, data wrangling, and API integrations across enterprise systems.\nAutomate complex data workflows using orchestration tools and CI/CD via Azure Git.\nConnect Pardot and Google Analytics data to the warehouse to enable unified marketing performance reporting.\nCollaborate with BI analysts, data scientists, and application teams to deliver end-to-end data solutions.\nEnsure data quality, compliance, and traceability through logging, validation rules, and proper metadata management.\nDocument data flows, security policies, model definitions, and ML/NLP implementations.\nWhat You’ll Bring\nAt least 3+ years of analytics engineering / data engineering, with minimum 2 years of experience in architecting and solutioning · \nExpert-level skills with Azure Data Factory, Azure Databricks, and Synapse Analytics.\nAdvanced SQL and T-SQL knowledge via SQL Server; strong experience with stored procedures and performance tuning.\nPractical experience with Salesforce data extraction using SOQL, REST/Bulk APIs, or connectors such as Informatica.\nFamiliarity with Pardot APIs and syncing marketing data (campaigns, prospects, activities) into a centralised data store.\nHands-on experience integrating Google Analytics (GA4) data exports via BigQuery or the GA4 Data API for downstream reporting.\nStrong Python skills; proficiency with Pandas, SQL Alchemy, Requests, and relevant data engineering libraries.\nKnowledge of ML/NLP workloads using tools like MLflow, PySpark, and Databricks Notebooks.\nAbility to translate business requirements into scalable, secure, and well-governed data solutions.\nProficiency in Python for scripting ETL logic, REST API calls, data cleaning, and pipeline automation\nMandatory Skills\nSQL, Python, Pardot Data Pipelines, Google Analytics, Salesforce Integration\nWhat we Offer:\nBootstrapped and financially stable with high pre-money evaluation.\nAbove industry renumerations.\nAdditional compensation tied to Renewal and Pilot Project Execution.\nAdditional lucrative business development compensation.\nChance to work closely with industry experts driving strategy with data and analytics.\nFirm building opportunities that offer stage for holistic professional development, growth, and branding.\nEmpathetic, excellence and result driven organization. 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