Data Engineer
Anblicks (company site, opens in a new tab)3+ yrsHyderabadOn-siteDirect career pageEst. 8–16 LPA
Posted 16h ago
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at Anblicks
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Anblicks you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable ETL/ELT pipelines and data workflows using SQL, Python, and cloud platforms (Snowflake, Databricks, AWS).
- Ensure data quality, validation, monitoring, and error handling to maintain reliable analytics-ready datasets.
- Collaborate with Data Scientists and cross-functional teams to integrate diverse data sources, support data modeling, and maintain documentation and governance compliance.
Minimum Requirements
- Bachelor's degree in Computer Science, IT, Engineering, or related field.
- At least 2 years of hands-on experience in Data Engineering or ETL/ELT development.
- Strong proficiency in SQL and one programming language (Python, Scala, or Java).
- Experience with cloud data platforms such as Snowflake, Databricks, or AWS.
Ideal Candidate Profile
- Experienced in building and troubleshooting complex data pipelines with focus on data quality and performance optimization.
- Comfortable working with cloud-based modern data engineering tools and implementing data security and governance best practices.
- Familiar with collaborating across technical teams to deliver integrated, scalable data solutions in product or analytics-driven environments.