Einfochips
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Pune · On-site · 5-8 Yrs · Oct 1
Information Technology Support Services · 1001 to 5000 Employees · Ahmedabad, India
eInfochips, an Arrow company, is a leading global provider of product engineering and semiconductor design services. With over 500+ products developed and 40M deployments in 140 countries, eInfochips continues to fuel technological innovations in multiple verticals. The company’s service offerings include digital transformation and connected IoT solutions across various cloud platforms, including AWS and Azure. Along with Arrow’s $30B in revenues, 20,100 employees, and 349 locations serving over 80 countries, eInfochips is primed to accelerate connected products innovation for 200,000+ global clients. eInfochips acts as a catalyst to Arrow’s Sensor-to-Sunset initiative and offers complete edge-to-cloud capabilities for its clients through Arrow Connect.
Hiring: Engineering
What employees say
+ Good learnings and overall good culture.
− Compensation could be better as per Ahmedabad market rate.
More reviews on the company profile.
Interview experience · Principal Architect
The eInfochips DevOps interview typically includes an HR screening, technical assessment, one or more technical rounds, project-based discussions, and an HR/managerial round. Questions commonly cover AWS, Linux, Git, Doc
Average difficulty · India · 254 reports
More interview insightsJob description
Overview
Position:Data Engineer with Power BI - Senior engineer (Level 1)Job Description:
Responsibilities
- Design, develop, and maintain interactive dashboards, reports, and semantic models using Power BI.
- Create optimized data models, DAX calculations, KPIs, measures, Power Query transformations, and enterprise reporting solutions.
- Develop and maintain complex SQL queries, stored procedures, and database objects for analytics and reporting.
- Build and maintain scalable ETL/ELT pipelines using AWS Glue, Amazon EMR, AWS Lambda, or similar AWS data integration services.
- Develop Python scripts for automation, data processing, validation, and workflow optimization.
- Integrate data from multiple enterprise systems including SQL Server, Oracle, SAP, ERP, APIs, AWS services, and cloud data warehouses.
- Work with modern cloud platforms including AWS, Amazon Redshift, Amazon S3, Databricks, and Power BI.
- Design dimensional data models (Star Schema/Snowflake Schema) and publish curated datasets for enterprise analytics.
- Optimize Power BI reports through DAX optimization, query tuning, incremental refresh, aggregation, and performance best practices.
- Implement Row-Level Security (RLS), workspace governance, deployment pipelines, and Power BI Service administration.
- Collaborate with Data Engineering teams to design scalable data lake, Lakehouse, and Medallion Architecture solutions.
- Support deployment, release management, CI/CD implementation, and migration across Development, UAT, and Production environments.
- Maintain technical documentation for dashboards, datasets, pipelines, and operational runbooks.
- Troubleshoot reporting, performance, data quality, and production issues while ensuring high availability of analytics solutions.
- Work closely with business stakeholders to gather reporting requirements and translate them into scalable technical solutions.
- Strong hands-on experience developing enterprise Power BI reports, dashboards, and semantic models.
- Expertise in DAX, Power Query (M), calculated measures, calculated columns, relationships, and data modeling.
Qualifications
- Knowledge of Row-Level Security (RLS), Incremental Refresh, Gateways, Deployment Pipelines, Workspace Management, and report performance optimization.
- Advanced SQL (essential) for query optimization, stored procedures, and analytics.
- Strong Python programming for automation, data processing, scripting, and ETL development.
- Hands-on experience building ETL/ELT pipelines using AWS Glue, Amazon EMR, AWS Lambda, Amazon Kinesis, or similar AWS services.
- Knowledge of data orchestration, monitoring, and workflow automation using AWS services.
- Understanding of Medallion Architecture, Lakehouse concepts, and modern data engineering best practices.
- Strong understanding of cloud data warehousing, Lakehouse architecture, and dimensional modeling
- Strong understanding of Star Schema, Snowflake Schema, and dimensional modeling.
- Knowledge of semantic modeling and enterprise reporting architecture.
- Familiarity with Agile/Scrum methodologies.
- Strong documentation, troubleshooting, and code review practices.
- Knowledge of data privacy, RBAC and secure data sharing.
- Exposure to other cloud analytics platforms such as Azure, Snowflake
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- 5–8 years of experience in Power BI, Data Analytics, and Data Engineering.
- Strong analytical, troubleshooting, communication, and stakeholder management skills.
- Ability to work effectively with cross-functional business and technical team.
- Microsoft Power BI Data Analyst Associate
- AWS Certified Data Engineer – Associate or AWS Certified Solutions Architect – Associate
- AWS Certified Developer – Associate
- Databricks Fundamentals or Associate Certification
- Power BI Desktop & Power BI Service
- Amazon S3
- AWS Glue
- Amazon Redshift
- Amazon Athena
- Amazon EMR
- AWS Lambda
- Amazon Kinesis
- AWS IAM & CloudWatch
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Job application FAQ
Last updated 21 October 2026
- How do I apply for Data Engineer with Power BI - Senior engineer (Level 1) at Einfochips?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Einfochips may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer with Power BI - Senior engineer (Level 1) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer with Power BI - Senior engineer (Level 1) remote or on-site in Pune, Maharashtra?
- This listing is marked on_site with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Data Engineer with Power BI - Senior engineer (Level 1) role at Einfochips?
- This is a senior Data Engineer with Power BI - Senior engineer (Level 1) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.