Data Engineering Specialist
- Uplers
- 3 - 5 years
- Pune
- 5 days ago
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Job Description
Data Engineer
Experience: 3 - 5 Years Exp
Salary: Competitive
Preferred Notice Period: Within 30 Days
Opportunity Type: In office (Pune)
Placement Type: Full-time
(*Note: This is a requirement for one of Uplers' Clients)
Must have skills: Azure Data Factory OR Databricks OR Amazon Redshift AND ETL
About the role:
As a Data Engineer BI Analytics & DWH, you will play a pivotal role in designing and implementing comprehensive business intelligence solutions that empower our organization to make data-driven decisions. You will leverage your expertise in Power BI, Tableau, and ETL processes to create scalable architectures and interactive visualizations. This position requires a strategic thinker with strong technical skills and the ability to collaborate effectively with stakeholders at all levels.
What Youll Do:
ETL/ELT Development:
- Design, build, and maintain efficient ETL and ELT processes using tools such as Azure data factory, Databricks, or similar orchestration frameworks.
- Ensure reliable data ingestion from various sources into centralized storage systems (DWH/data lakes).
Data Modelling & Warehousing:
- Design relational and dimensional data schemas tailored to business use cases in data lakes or traditional data warehouses (e.g., Snowflake, Redshift, Postgres).
- Develop and maintain data models optimized for analytics and reporting.
Database Engineering:
- Write efficient SQL queries and stored procedures to transform, clean, and aggregate data.
- Manage data transformations and complex joins to support analytical workloads.
BI & Visualization Support:
- Provide basic support for report and dashboard development in visualization tools such as Tableau or Power BI.
- Collaborate with analysts and business users to understand reporting needs and enable self-service BI.
Performance & Data Quality:
- Monitor and troubleshoot data pipelines and warehouse jobs to ensure timely and accurate data availability.
- Apply basic data quality checks and validations to ensure trustworthiness of data outputs.
On your first day, we'll expect you to have:
- Bachelors degree in computer science, Information Systems, Data Engineering, or a related field.
- 35 years of experience in data engineering with hands-on ETL/ELT development and data modelling.
- Solid SQL skills and experience with database systems such as SQL Server, Postgres, Snowflake, or Redshift.
- Exposure to cloud-based services and data tools (e.g., AWS S3, Azure Data Factory, Databricks, Lambda functions).
- Basic understanding of data serialization formats like JSON, Parquet, or CSV.
- Familiarity with Python for scripting and data manipulation.
- Bonus: Exposure to visualization tools such as Power BI, Tableau for dashboard/report creation will be a plus.
We'd be super excited if you have:
- Azure SDK
- Ability to interact with REST APIs and perform web scraping tasks.
Benefits:
- At Calfus, we value our employees and offer a strong benefits package. This includes medical, group, and parental insurance, coupled with gratuity and provident fund options. Further, we support employee wellness and provide birthday leave as a valued benefit.
- Calfus is an Equal Opportunity Employer.
- We believe diversity drives innovation. Were committed to creating an inclusive workplace where everyoneregardless of background, identity, or experiencehas the opportunity to thrive. We welcome all applicants!
How to apply for this opportunity?
Easy 3 Step Process:
- Click On Apply and register or log in to our portal
- Upload updated Resume & complete the Screening Form
- Increase your chances of getting shortlisted & meet the client for the Interview!
About Our Client:
Calfus is a Silicon Valley headquartered software engineering and platforms company. The name Calfus finds its roots and ethos in the Olympic motto Citius, Altius, Fortius Communiter". Calfus seeks to inspire our team to rise faster, higher, stronger, and work together to build software at speed and scale.About Uplers:
Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career.
(Note: There are many more opportunities apart from this on the portal.)
So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data EngineerEmployement Type: Full timeContact Details:
Company: UplersLocation(s): Pune
Keyskills: Data Engineering Azure Data Factory Amazon Redshift ETL Data Bricks
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