{"id":3149785,"url":"https://alion.io/job/predigle-data-engineer-2","title":"Data Engineer","company":{"id":3809923,"name":"Predigle","domain":"predigle.com","url":"https://alion.io/company/predigle","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"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":11000,"max_usd":26000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":1,"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":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-23T11:35:15Z","employer_posted_date":null,"last_verified_at":"2026-10-23T11:35:15Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"Responsibilities: \nData Engineering and Modelling: Develop and maintain analytics-ready datasets, transformations, and date models within Databricks and Azure-based data platforms to support reporting and business intelligence initiatives.\nDatabricks Development: Build and support data transformation workflows, notebooks, and analytics processes utilising Databricks within the Azure cloud environment.\nAnalytics and Reporting: Support development and optimisation of Power BI and Tableau dashboards, datasets, and reporting solutions that deliver actionable business insights.\nCloud Data Platform Support: Collaborate with senior engineers to support Azure-based analytics architecture, data pipelines, integrations, and reporting environments.\nData Transformation and ETL/ELT: Support pipelines and transformation logic to prepare high-quality, analytics-ready datasets.\nStakeholder Collaboration: Work closely with business stakeholders, data engineers, and BI developers to understand requirements and deliver tailored analytics solutions.\nData Governance and Optimisation: Implement and uphold best practices for data documentation, access control, and performance tuning.\nUser Enablement: Provide training, support, and best practice guidance to promote adoption of self-service analytics tools across the organisation.\nPerforms other duties as assigned.\n\nRequirements: \nTo perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.\nBachelor's degree in data analytics, computer science, information technology, engineering, or a related field (master's degree preferred).\n2-4 years of experience in data analytics, analytics engineering, business intelligence, or data engineering-related roles.\nProven ability to develop executive-level dashboards using Power BI and/or Tableau.\nStrong experience with SQL for data querying, modelling, and transformation.\nExperience working with Databricks, Azure cloud technologies, and modern analytics engineering workflows preferred.\nExperience supporting data transformation, ETL/ELT development, and analytics-ready dataset creation using SQL and cloud-based technologies.\nFamiliarity with Azure cloud services such as Azure Data Factory, Data Lake, Synapse, and Databricks preferred.\nFamiliarity with scripting languages (e. g., Python, R) for data manipulation is a plus.\nExcellent communication skills to translate technical concepts to non-technical stakeholders.\nStrong problem-solving and analytical skills.\nAbility to work independently and collaboratively in a fast-paced environment.\n\nCompliance, Ethics and Professionalism: \nHighly ethical and moral standards.\nAdherence to Compliance Standards and Policies.\nAdherence to the Employee/HR Manual and company policies/procedures.\nSensitivity with confidential information (both business and patient information).\nPositive and professional attitude.\nStrong ability to work collaboratively with others in a team atmosphere.\nSkills\nazure, databricks, 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