{"id":1272510,"url":"https://alion.io/job/riskresourcesindia-azure-databricks-engineer","title":"Azure Databricks Engineer","company":{"id":3801169,"name":"Riskresourcesindia","domain":"riskresourcesindia.com","url":"https://alion.io/company/riskresourcesindia","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":62000,"period":"year","method":"role_seniority_country_cell","sample_n":8},"experience_years_min":6,"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":"pySpark","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-09-02T04:43:09Z","employer_posted_date":null,"last_verified_at":"2026-09-02T04:43:09Z","board_verified":false,"closed_at":null,"days_open":24,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":24},"description":"Role Overview : \n\nWe are seeking a seasoned Azure Databricks Engineer to join our high-performing data engineering team in Bangalore/Chennai. In this role, you will architect and maintain robust data pipelines, transforming complex raw data into actionable insights that drive strategic decision-making. You will collaborate closely with cross-functional teams, including data scientists, business analysts, and product stakeholders, to ensure data integrity and performance at scale. By leveraging your deep technical expertise, you will play a pivotal role in optimizing our cloud data infrastructure, directly impacting the efficiency of our analytics platforms and the quality of data-driven outcomes for our global clients.\n\nKey Responsibilities : \n\n- Design and implement scalable end-to-end data pipelines using Azure Data Factory and Azure Databricks to support high-volume data processing requirements.\n\n- Develop complex data transformation logic using PySpark and Apache Spark to ensure high-performance data ingestion and cleaning for downstream consumption.\n\n- Optimize SQL queries and Spark jobs to improve system performance, reduce latency, and minimize cloud infrastructure costs for the organization.\n\n- Partner with data architects and business stakeholders to translate complex business requirements into technical data solutions that meet evolving organizational needs.\n\n- Maintain rigorous standards for data quality, security, and governance across all Azure-based data platforms to ensure compliance and reliability.\n\n- Mentor junior team members and conduct code reviews to foster a culture of technical excellence and continuous improvement within the engineering team.\n\nRequired Skillset : \n\n- Demonstrated expertise in building and managing large-scale data solutions within the Azure ecosystem, with a deep understanding of Azure Databricks and Azure Data Factory.\n\n- Advanced proficiency in PySpark and Apache Spark for distributed computing, coupled with the ability to write highly optimized SQL for complex data manipulation.\n\n- Strong analytical and problem-solving abilities, with a proven track record of troubleshooting performance bottlenecks in distributed data environments.\n\n- Excellent communication skills, with the ability to articulate technical concepts clearly to non-technical stakeholders and collaborate effectively in a hybrid work environment.\n\n- A proactive mindset toward learning new technologies and adapting to changing business requirements in a fast-paced, professional setting.\n\n- A Bachelors or Masters degree in Computer Science, Information Technology, or a related quantitative field, supported by 6-12 years of relevant industry experience.\n\nSkills\nData Engineering, Azure Databricks, Azure Data Factory, PySpark, SQL, Data Management, Data Services","description_format":"text","description_chars":2814,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity","Professional Services"],"lifecycle":[{"event":"open","at":"2026-09-26T00:07:01Z"}],"liveness":{"score":29,"band":"fade","label":"Fading","p_open":0.85,"p_active":0.629,"p_room":0.55,"age_days":24,"expected_fill_days":24,"reasons":["seen:24","win:tail"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/riskresourcesindia-azure-databricks-engineer","json_url":"https://alion.io/job/riskresourcesindia-azure-databricks-engineer.json","meta":{"generated_at":"2026-09-27T02:42:48Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2462,"day_limit":5000,"remaining_today":2538,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}