Project Role :Custom Software Engineer

Project Role Description :Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.

Must have skills :Microsoft Azure Databricks

Good to have skills :NA

Minimum 7.5 year(s) of experience is required

Educational Qualification :15 years full time education

Job SummaryWe are seeking an experienced Data Engineering Lead with deep expertise in Azure Data Services, Azure Synapse Analytics, and Azure Databricks to design, build, and lead the development of scalable, end-to-end data pipelines. The role involves owning the data architecture from source ingestion to consumption layers, ensuring high performance, reliability, and data quality while mentoring a team of data engineers.Key Responsibilities :1. Lead the design, development, and optimization of end-to-end data pipelines from multiple source systems to analytics and reporting layers2. Architect and implement modern data platforms on Azure using:Azure Data Factory / Synapse PipelinesAzure Synapse Analytics (Dedicated Serverless SQL pools)Azure Databricks (Delta Lake, Spark)Azure Data Lake Storage (ADLS Gen2)3. Define and enforce data modeling standards (bronze/silver/gold layers, star/snowflake schemas)4. Ensure efficient data ingestion, transformation, and orchestration for batch and near-real-time workloads5. Optimize data pipelines for performance, scalability, cost, and reliability6. Collaborate with business stakeholders, architects, analysts,



and data scientists to align data solutions with business needs7. Lead and mentor a team of data engineers, conducting code reviews and enforcing best practices8. Implement data governance, security, and compliance (RBAC, data masking, encryption)9. Drive CI/CD automation for data pipelines using Azure DevOps or GitHub Actions10. Monitor, troubleshoot, and resolve pipeline failures and performance issues11. Participate in architecture reviews and contribute to long-term data strategyRequired Skills
Qualifications1. 8+ years of experience in data engineering, with proven leadership experience2. Strong hands-on expertise in Azure Data Services3. Extensive experience with:Azure Synapse Analytics, Azure Databricks (Apache Spark, Delta Lake), Azure Data Factory / Synapse Pipelines4. Proven experience building end-to-end data pipelines from source systems (RDBMS, APIs, files, streaming) to consumption layers (BI, analytics, ML)5. Strong SQL and Python/Scala skills6. Experience with data warehousing and lakehouse architectures7. Solid understanding of ETL/ELT patterns, data partitioning, and performance tuning8. Experience with CI/CD, version control, and DevOps practices9. Solid communication and stakeholder management skillsExperience:812+ years (with 35 years in a lead role)Preferred / Nice-to-Have1. Azure certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect)2. Experience with Power BI or other BI tools3. Exposure to real-time/streaming data (Event Hub, Kafka, Structured Streaming)

Qualification 15 years full time education

📌 Custom Software Engineer (Bengaluru)
🏢 Accenture
📍 Bengaluru