{"id":1253277,"url":"https://alion.io/job/lancesoft-india-pvt-ltd-lead-data-engineer","title":"Lead Data Engineer","company":{"id":3800169,"name":"Lancesoft India Pvt Ltd","domain":"lancesoft.in","url":"https://alion.io/company/lancesoft-india-pvt-ltd","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":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, 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- 15 years of experience in designing, developing, and architecting scalable data engineering solutions.\n\nThe ideal candidate should have strong hands-on expertise in Advanced Python, Databricks, Unity Catalog, Delta Live Tables (DLT), dbt, Medallion Architecture, data pipelines, SQL, and cloud data platforms.\n\nThis is a hands-on technical leadership role involving solution design, architecture, development, code reviews, performance optimization, technical decision-making, and mentoring.\n\nTech Stack :\n\n- Advanced Python, Databricks, Unity Catalog, Delta Live Tables (DLT), dbt, Medallion Architecture, SQL, Cloud Data Platforms.\n\nKey Responsibilities :\n\nArchitecture & Solution Design :\n\n- Design scalable, secure, and high-performance data engineering solutions using Databricks and modern cloud technologies.\n\n- Translate business requirements into end-to-end data architecture and technical solutions.\n\n- Design and implement Medallion Architecture using Bronze, Silver, and Gold layers.\n\n- Define data ingestion, transformation, storage, governance, and consumption strategies.\n\n- Create architecture diagrams, data flow diagrams, and technical documentation.\n\n- Drive technical decisions related to scalability, performance, reliability, cost, and maintainability.\n\nAdvanced Python Development :\n\n- Develop production-grade data engineering applications using Advanced Python.\n\n- Build reusable Python frameworks, libraries, utilities, and data processing components.\n\n- Implement complex data transformations, validations, exception handling, logging, and monitoring.\n\n- Apply strong Python concepts including OOP, modular programming, design patterns, testing, packaging, and performance optimization.\n\n- Develop scalable Python-based ETL/ELT pipelines and automation frameworks.\n\n- Conduct code reviews and establish Python coding standards and best practices.\n\nDatabricks Engineering :\n\n- Design and develop scalable data pipelines using Databricks Products, Python/PySpark, SQL, and Delta Lake.\n\n- Work with Databricks Workflows, notebooks, compute, and job scheduling.\n\n- Develop batch and near-real-time data processing pipelines.\n\n- Optimize Spark jobs, SQL queries, cluster configurations, partitions, and data processing workloads.\n\n- Implement Delta Lake capabilities including schema enforcement, schema evolution, partitioning, and optimization.\n\nUnity Catalog :\n\n- Implement Unity Catalog for centralized data governance and access management.\n\n- Design catalogs, schemas, tables, views, external locations, and access controls.\n\n- Implement role-based and fine-grained data access.\n\n- Support data lineage, auditing, discovery, and governance requirements.\n\nDLT / Lakeflow :\n\n- Design and develop reliable pipelines using Delta Live Tables (DLT) and modern Databricks declarative pipeline capabilities.\n\n- Develop batch and streaming data pipelines with appropriate data quality checks.\n\n- Implement data quality expectations and validation rules.\n\n- Monitor pipeline health, failures, performance, and data quality.\n\ndbt :\n\n- Develop dbt-based transformation frameworks integrated with Databricks.\n\n- Create reusable models, macros, tests, sources, and documentation.\n\n- Implement incremental models and dependency management.\n\n- Establish data quality and testing standards using dbt.\n\nSkills\nData Engineering, Python, Azure Databricks, SQL, Cloud, Data Management, Data Catalogue, Medallion Architecture, Data Pipeline","description_format":"text","description_chars":3527,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Blockchain & 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