Overview
Job Description
As a Databricks and Snowflake Data Engineer, you will work closely with experienced data engineers, architects and analytics teams to design, build and optimize modern data platforms. You will take part in the full data engineering lifecycle, from data ingestion and transformation to pipeline orchestration, data modeling and performance tuning.
This role offers a hands-on learning environment where you will work on real business problems, gain exposure to cloud-based data platforms and build skills in modern data engineering tools such as Databricks, Snowflake, Spark, Python, SQL and cloud ecosystems.
Key Responsibilities
- Work with senior data engineers and architects to build, optimize and maintain scalable data pipelines and workflows.
- Develop ETL/ELT processes using Databricks, Spark, Python and SQL.
- Design and implement data ingestion frameworks for structured and unstructured data sources.
- Build and maintain data models, data marts and analytical datasets in Snowflake.
- Monitor, troubleshoot and improve data pipeline performance, reliability and scalability.
- Collaborate with business stakeholders, analysts and data scientists to understand data requirements and deliver solutions.
- Take part in architecture discussions, proof-of-concepts and process improvement initiatives.
- Document data flows, technical designs and implementation details to support operational excellence and knowledge sharing.
- Ensure adherence to data quality, security and governance standards across data platforms.
This role tests SQL
Practise the 1,015 SQL interview questions asked in service and product-company rounds — query, real output and the common mistake for each.
See the SQL Interview Kit · ₹299Practise the 75 questions freshers are asked most
The LeetCode 75 sheet covers the patterns most coding rounds draw from, with a written solution for each.
Open the LeetCode 75 sheetIf an employer asks you to pay any kind of fee, please notify us immediately. Talentd does not charge any fee from applicants and we do not allow other companies to do so.
Key Skills
Related Tags
Browse More Jobs
Education Requirements
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Science or a related technical field
Eligible Batch Years

EXL
EXL (EXL Service Holdings, Inc.) is a global data analytics, digital operations, and business process management company headquartered in New York, United States. Founded in 1999, the company helps organizations transform their operations using data, artificial intelligence, and domain expertise. EXL serves clients across industries such as insurance, healthcare, banking and financial services, retail, and travel, providing services that include analytics, AI-driven decision support, finance and accounting outsourcing, and customer operations.
With a workforce of tens of thousands of employees operating across North America, Europe, Asia, and other global delivery centers, EXL is recognized as a leading provider in the analytics-led outsourcing and digital transformation space. The company combines deep industry knowledge with advanced data science and cloud technologies to help enterprises improve efficiency, manage risk, and enhance customer experience. In recent years, EXL has strengthened its analytics and AI capabilities through acquisitions and platform investments, positioning itself as a prominent player in data-driven business services.
Company Details
Connect With Us
Websiteexlservice.com