Lead Data Engineer at Sutherland

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

18 Jun, 26

Salary

0.0

Posted On

20 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Power BI, Azure, Databricks, SQL, T-SQL, PL/SQL, SQL Server, DAX, PySpark, Python, Spark SQL, Spark Streaming, Delta Lake, Scala, Azure Data Factory, Azure DevOps

Industry

IT Services and IT Consulting

Description

Company Description Sutherland is seeking an analytical person to join us as an Associate Profession - BI Analyst to be responsible for reporting and providing insights from the data. We are a group of dynamic and driven individuals. If you are looking to build a fulfilling career and are confident you have the skills and experience to help us succeed, we want to work with you! Job Description The Lead BI Engineer will be responsible for architecting, developing, and optimizing enterprise-scale business intelligence solutions. This role requires deep expertise in Power BI, Azure, Databricks, and SQL, with the ability to design scalable data pipelines, deliver advanced analytics, and drive BI adoption across the organization. The ideal candidate combines strong technical skills with leadership capabilities, guiding teams and collaborating with stakeholders to enable data-driven decision-making. Key Responsibilities Data Engineering & Pipeline Development Design and implement data ingestion pipelines from multiple sources using Azure Databricks. Develop scalable and reusable frameworks for ingesting and transforming datasets. Integrate end-to-end data pipelines ensuring data quality, consistency, and governance. Work with event-based/streaming technologies for real-time data ingestion and processing. Optimize Databricks code and perform performance tuning for large-scale workloads. SQL Development & Optimization Strong expertise in SQL, T-SQL, and PL/SQL with hands-on experience in SQL Server. Write, analyze, and optimize complex SQL queries including stored procedures, functions, triggers, joins, updates, and constraints. Deep knowledge of SQL architecture: Agent Jobs, Indexes, Partitions, Views, and Procedures. Proven ability to design high-performance queries and implement best practices for SQL optimization. BI & Visualization Lead the design and development of Power BI dashboards, reports, and KPI scorecards. Proficient in DAX, advanced calculations, and data modeling aligned with warehouse standards. Collaborate with business stakeholders to translate requirements into actionable BI solutions. Champion BI adoption and foster a culture of data-driven decision-making. Cloud & Infrastructure Design and deploy data applications on Azure cloud solutions (Synapse, Data Lake, SQL DB, Blob Storage). Hands-on experience with Azure Data Factory, Azure Functions, and Azure DevOps for automation and orchestration. Provision and manage Databricks clusters, including scheduling and job automation. Familiarity with AWS/GCP integration where applicable. Advanced Analytics & Development Experience with PySpark and Python for data processing and advanced analytics. Hands-on experience with Spark SQL, Spark Streaming, Delta Lake, and Scala/Python notebooks. Develop proofs of concept (POCs) and prototypes with customer teams. Implement transformational big data projects, including real-time streaming using Databricks. Qualifications Desired Skills Strong problem-solving, interpersonal, and communication skills. Self-starter with the ability to adapt to new Azure services in the analytics space. Provide technical leadership and mentor junior engineers. Collaborate with delivery leadership to ensure project delivery adheres to quality standards. Additional Information willing to work in UK shift

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Responsibilities

The Lead BI Engineer is responsible for architecting, developing, and optimizing enterprise-scale business intelligence solutions using technologies like Power BI, Azure, Databricks, and SQL. Key duties include designing data ingestion pipelines, developing scalable frameworks, and ensuring data quality and governance.