{"id":4091444,"url":"https://alion.io/job/ideaon-senior-data-engineer-databricks","title":"Senior Data Engineer Databricks","company":{"id":4442290,"name":"Ideaon","domain":"ideaoninc.com","url":"https://alion.io/company/ideaon","size_band":"11-50","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":"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":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"CI/CD","optional":false},{"name":"Collibra","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Delta Lake","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Great Expectations","optional":false},{"name":"Java","optional":false},{"name":"Presto","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"AI Agents","optional":true},{"name":"MLFlow","optional":true},{"name":"Prompt Engineering","optional":true}],"status":"live","first_seen_at":"2026-11-11T17:29:09Z","employer_posted_date":null,"last_verified_at":"2026-11-11T17:29:09Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Senior Data Engineer –Databricks\n3 months Contract with possibility of extension.\nWork Arrangement - Remote\n\nPlease find below the details JD:\n\nKey Responsibilities:\nDevelop and implement data solutions using Databricks, with hands-on experience in specific Databricks platform features such as Delta Lake, Uniform (Iceberg), Delta Live Tables (Lakeflow Declarative Pipelines), and Unity Catalog.\nCollaborate with cross-functional teams to design and optimize data pipelines for both batch and streaming data, ensuring data quality and efficiency.\nStay updated with emerging technologies, latest Databricks platform features and continuously improve your skills in Databricks and other relevant tools.\n\nMandatory Requirements:\n5+ years of data engineering experience, with at least 2 years of hands-on data pipeline design and development experience with Databricks, including specific -platform features like Delta Lake, Uniform (Iceberg), Delta Live Tables (Lakeflow Declarative pipelines), and Unity Catalog.\nProficiency in designing and building robust, scalable, YAML configuration driven data pipelines with batch, micro-batch, and streaming data ingestion and processing patterns using tools like Auto Loader demonstrating a strong understanding of modern data engineering practices.Experienced in building complex job/workflow orchestration patterns using either Databricks jobs/workflows or with other orchestration tools like Airflow, dbt etc.\nExposure in building robust data quality, pipeline audit/observability solutions with\nDatabricks native features and/or other data quality tools/frameworks like Great Expectations, Collibra, dbt etc.\nProficiency in Big Data Platforms: Apache Spark, Presto, Amazon EMR.\nExperience with Cloud Data Warehouses: Amazon Redshift, Snowflake, Google BigQuery.\nStrong programming skills using SQL, Stored Procedures and Object-Oriented Programming languages (like Java, Python, PySpark etc.).\nFamiliarity with building DevOPs, CI/CD pipelines using Databricks Asset Bundles with automated validation and testing.\nExposure with Infrastructure as Code (IaC) tools like Terraform is a big plus.\nFamiliarity with NoSQL Databases and Container Management Systems.\nExposure to AI/ML tools (like mlflow), prompt engineering, and modern data and AI agentic workflows.\nAn ideal candidate will have Databricks Data Engineering Associate and/or Professional certifications completed with multiple Databricks project delivery 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