{"id":3318560,"url":"https://alion.io/job/sedin-technologies-senior-data-engineer-databricks","title":"Senior Data Engineer - Databricks","company":{"id":3024,"name":"Sedin Technologies","domain":"sedintechnologies.com","url":"https://alion.io/company/sedin-technologies","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":"senior","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":18500,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Feature Store","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Jenkins","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Airflow","optional":true},{"name":"Apache Iceberg","optional":true},{"name":"dbt","optional":true},{"name":"Flink","optional":true},{"name":"MLFlow","optional":true}],"status":"live","first_seen_at":"2026-10-27T04:46:23Z","employer_posted_date":null,"last_verified_at":"2026-10-27T04:46:23Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Position Overview:\n\nDatakulture, Sedin's Data Analytics & Business Intelligence division, is looking for a highly experienced Senior Data Engineer with 8+ years of hands-on expertise, with a strong focus on Databricks, to join our Chennai team in an in-office capacity. In this role, you will architect and build enterprise-scale data platforms, Lakehouse environments, and complex data pipelines that power analytics and AI workloads for global clients.\n\nKey Responsibilities:\n\n- Architect, design, and build large-scale data pipelines and Lakehouse solutions on Databricks using PySpark, Spark SQL, and Delta Lake, following Medallion Architecture principles.\n\n- Lead the design and implementation of batch and streaming data pipelines using Spark Structured Streaming, Apache Kafka, AWS Kinesis, or Azure Event Hubs.\n\n- Develop and manage Databricks Workflows, Unity Catalog, Delta Live Tables (DLT), and cluster configurations for optimal performance and governance.\n\n- Engineer robust data ingestion frameworks from diverse sources including RDBMS, REST APIs, flat files, NoSQL stores, and event streams.\n\n- Design and optimize data models for analytical workloads; implement advanced performance tuning including Z-ordering, partitioning, compaction, and caching strategies.\n\n- Build and maintain cloud data infrastructure on AWS and/or Azure alongside Databricks.\n\n- Implement CI/CD pipelines for data engineering workflows; enforce code review standards and Git-based development practices.\n\n- Define and enforce data quality frameworks, data observability standards, and data governance policies.\n\n- Collaborate with data scientists, ML engineers, and BI developers to deliver feature stores, analytical datasets, and ML-ready data pipelines.\n\n- Lead technical discussions, architecture reviews, and stakeholder engagements; mentor and guide junior and mid-level data engineers.\n\n- Drive adoption of Infrastructure as Code (IaC) using Terraform or CloudFormation; manage cost optimization and security best practices.\n\nRequired Qualifications & Skills:\n\n- B.E. / B.Tech / M.Tech / M.Sc. in Computer Science, Information Technology, Data Engineering, or a related discipline.\n\n- 8+ years of proven experience in data engineering, with at least 3 - 4 years of deep, hands-on Databricks expertise in production environments.\n\n- Databricks (Expert): PySpark, Spark SQL, Delta Lake, Unity Catalog, Delta Live Tables, Databricks Workflows, cluster tuning, and Databricks SQL.\n\n- Cloud Platforms: Strong proficiency in AWS (S3, Glue, Athena, EMR, Redshift, Kinesis, Lambda, Step Functions) and/or Azure (ADLS Gen2, ADF, Synapse Analytics, Azure SQL, Event Hubs).\n\n- Programming: Advanced Python (pandas, PySpark) and SQL (complex queries, window functions, performance optimization).\n\n- Strong communication and leadership skills; demonstrated ability to drive technical decision-making, engage with senior stakeholders, and mentor engineering teams.\n\n- Data Architecture: Deep understanding of Medallion Architecture, Lakehouse design, Data Vault, star/snowflake schema, and streaming data patterns.\n\n- DevOps & IaC: Proficiency in CI/CD (GitHub Actions, Azure DevOps, Jenkins), Terraform or CloudFormation, and Git-based development workflows.\n\n- Data Governance: Experience implementing data quality frameworks, data observability, and Unity Catalog-based governance.\n\nPreferred Qualifications:\n\n- Databricks Certified Data Engineer Professional or Associate; AWS Certified Data Engineer or Azure Data Engineer Associate.\n\n- Experience delivering data platforms across BFSI, retail, healthcare, manufacturing, or other data-intensive industries.\n\n- Exposure to dbt, Apache Iceberg, Apache Flink, Airflow/Prefect, or ML platform tooling (MLflow, Feature Store).\n\nSkills\nData Engineering, Databricks, Apache Spark, Python, Delta Lake, AWS, Azure, Medallion Architecture, Cloud Infrastructure, PySpark","description_format":"text","description_chars":3903,"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":["Information Technology","IT Consulting & Digital Transformation","Systems Integrators","Enterprise Apps Implementation Partners"],"lifecycle":[{"event":"open","at":"2026-10-27T06:29:10Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":28,"reasons":["seen:0","win:early"],"computed_at":"2026-10-27T19:42:53Z"},"pay":null,"html_url":"https://alion.io/job/sedin-technologies-senior-data-engineer-databricks","json_url":"https://alion.io/job/sedin-technologies-senior-data-engineer-databricks.json","meta":{"generated_at":"2026-10-27T19:42:53Z","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":10456,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"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":3024},"rest":"https://alion.io/mcp/rest/get_company?id=3024"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsedin-technologies-senior-data-engineer-databricks"},{"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%2Fsedin-technologies-senior-data-engineer-databricks"},{"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%2Fsedin-technologies-senior-data-engineer-databricks"},{"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/sedin-technologies-senior-data-engineer-databricks\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsedin-technologies-senior-data-engineer-databricks"}]}