Job Description

Group Company:

JSW Steel Limited

Designation:

Business Intelligence Analyst

Role:

(Senior Data Engineer)

Level: Manager/Senior Manager

Location: Mumbai - Seawoods location

Job Brief:

As a Business Intelligence Analyst at JSW Steel Limited within the Sales IT & Digital Transformation department in the Manufacturing steel industry, you will play a crucial role in leveraging data to drive strategic decision-making processes. You will be responsible for analyzing complex data sets, creating visualizations, and providing actionable insights to enhance sales performance and optimize digital transformation initiatives.
We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with extensive experience in data visualization using Power BI, advanced Python programming, and cloud infrastructure on Azure. Additionally, expertise in using Databricks for large-scale data processing is essential.
This role offers the opportunity to work with cutting-edge technologies and collaborate closely with cross-functional teams to drive business growth and innovation.

Responsibilities:

Data Architecture & Design: Lead the design and implementation of scalable data architectures that support complex analytics and business intelligence solutions. Data Integration & ETL: Develop, optimize, and maintain ETL pipelines using Python, Databricks, and Azure Data Factory to process and integrate data from various sources. Data Modelling: Design and implement robust data models that ensure data integrity and support efficient querying in Power BI and other analytical tools. Power BI Visualization: Create interactive and insightful dashboards and reports in Power BI, leveraging advanced DAX functions and Python scripts for enhanced visualizations. Azure Cloud Management: Manage and optimize data storage solutions using Azure services such as Azure Data Lake, Azure SQL Database, and Azure Synapse Analytics. Databricks Expertise: Utilize Databricks for large-scale data processing, including developing notebooks, managing clusters, and integrating with Azure-based data lakes. Performance Optimization: Monitor and optimize data processing and querying performance, ensuring the scalability and reliability of data pipelines. Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand requirements, develop solutions, and deliver actionable insights.
Documentation & Best Practices: Ensure comprehensive documentation of data pipelines, architecture, and processes. Advocate for and implement best practices in data engineering and cloud management.

Skills:

Data analysis Business intelligence tools Data visualization Dashboard creation Stakeholder collaboration Process improvement SQL Data modeling ETL processes Problem-solving Attention to detail Industry knowledge Communication skills Critical thinking

Technical Skills:

Power BI: Expert in building advanced dashboards, reports, and custom visuals, including the use of DAX and Python. Python: Proficient in Python for data manipulation, ETL processes, and integration with BI tools. Azure Cloud: Extensive experience with Azure services, including Azure Data Lake, Azure SQL Database, Azure Data Factory, and Azure Synapse Analytics. Databricks: Deep understanding of Databricks, including notebook development, cluster management, and performance tuning. SQL: Advanced knowledge of SQL for querying and data transformation. Data Modelling: Strong experience in designing and implementing data models for both operational and analytical purposes.

Soft Skills:

Leadership: Demonstrated ability to lead projects and mentor junior team members. Communication: Strong verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Problem-Solving: Excellent analytical and problem-solving abilities, with a focus on delivering high-quality solutions.

Preferred Qualifications:

Certifications: Relevant Azure certifications (e.g., Azure Data Engineer, Azure Solutions Architect) are a plus. Experience with Other Tools: Familiarity with other BI tools (e.g., Tableau), and experience with big data technologies (e.g., Hadoop, Spark) is advantageous.
Industry Experience: Prior experience in [specific industry, e.g., Manufacturing, retail] is preferred but not required.

Required work experience

Years of experience:

5 to 8 years Experience: 5+ years of professional experience in data engineering, with a proven track record of working on large-scale data projects.

Job Snapshot

Updated Date
04-07-2025
Job ID
JOB3364
Department
Sales IT & Digital Transformation
Location
Mum - JSW Centre, Mumbai, Maharashtra, India ..+ 1
Experience
5 - 8 Years
Employee Type
Managerial