Job Description

Senior Data Engineer
Department: Engineering
Employment Type: Full Time
Location: India
Compensation: ?1,720,000 - ?2,200,000 / year
Description
Shape the Future of Work with Eptura
At Eptura, we're not just another tech company-we're a global leader transforming the way people, workplaces, and assets connect. Our innovative worktech solutions empower 25 million users across 115 countries to thrive in a digitally connected world. Trusted by 45% of Fortune 500 companies, we're redefining workplace innovation and driving success for organizations around the globe.

We're excited to announce an opportunity to join our dynamic team as a Senior Data Engineer! If you're passionate about building scalable data solutions, working with cutting-edge technologies, and enabling data-driven decision-making, this role is for you. You'll play a key part in designing and maintaining robust data pipelines and models that power our analytics and insights. This is your chance to work on impactful projects in a collaborative environment where innovation and problem-solving are at the heart of what we do.
Responsibilities

• Collaborate with stakeholders to understand data requirements and design, develop, and maintain complex ETL processes.
• Implement at least two end-to-end Data Warehouse projects.
• Create data integration and data diagram documentation.
• Design and maintain data models, including schema design and optimization.
• Build and manage automated data pipelines ensuring data quality and consistency.
• Work on Data Warehouse platforms, including data mapping, ETL, data load, and transformation.
• Apply strong Data Warehousing and Dimensional Data Modeling skills.
• Utilize Python/Scala and Spark (including PySpark) for big data processing.
• Work with SQL for data querying and manipulation.
• Leverage Azure technologies such as Synapse, Data Factory, Blob Storage, and ADLS (nice to have).
• Use Azure DevOps for CI/CD or equivalent tools (nice to have).
• Work with Databricks and/or Snowflake.

About You

• Degree in Data Science, Statistics, Computer Science, or related field (or equivalent experience).
• 4+ years of experience as a Data Engineer.
• Hands-on experience with Azure Cloud platform and ETL processes using Azure Data Factory.
• Proficiency in Python, PySpark, and SQL.
• Experience with big data processing and analytics using Azure Databricks.
• Strong problem-solving and troubleshooting skills.
• Excellent communication skills for working with cross-functional teams.
• Familiarity with BI tools such as Power BI, Tableau, Looker, or IBM Cognos.

Benefits

• Health insurance fully paid-Spouse, children, and Parents
• Accident insurance fully paid
• Flexible working allowance
• 25 days holidays
• 7 paid sick days
• 14 public holidays
• Employee Assistance Program

Eptura Information

• Follow us on Twitter | LinkedIn | Facebook | YouTube
• Eptura is an Equal Opportunity Employer. At Eptura we promote our flexible workspace environment, free from discrimination. We believe that diversity of experience, perspective, and background leads to a better environment for all our people and a better product for our customers. Everyone is welcome at Eptura, no matter where you are from, and the more diverse we are, the more unified we will be in ensuring respectful connections all around the world.

#LI-PG1 #LI-Hybrid

Skills Required