On-siteDirect career pageEst. 8–18 LPA
Posted on 16 Sept
Reach people at Zensar Technologies
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 Zensar Technologies you could write to:
- Recruiters & HR
- People in this function
- Work addresses
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
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, build, and maintain scalable data pipelines and ETL/ELT processes supporting data ingestion, transformation, storage, and reporting.
- Manage data warehouses, data lakes, and data marts ensuring data quality, integrity, security, and governance.
- Optimize data processing performance, troubleshoot production issues, and implement monitoring, logging, and alerting mechanisms.
Minimum Requirements
- Strong proficiency in SQL and experience with ETL/ELT tools and data integration frameworks.
- Hands-on experience in Python, PySpark, Scala, or Java and big data technologies like Apache Spark, Hadoop, or Kafka.
- Knowledge of Azure Data Factory, Azure Databricks, Azure Synapse, or equivalent cloud data platforms and relational databases (SQL Server, Oracle, PostgreSQL, or MySQL).
- Bachelor's or Master’s degree in Computer Science, IT, Engineering, or related field; Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in developing and optimizing cloud-based data platforms with strong understanding of data warehouse concepts and dimensional modeling.
- Technically proficient in big data and cloud ecosystem tools (especially Azure platform) with proven ability to manage end-to-end data pipeline lifecycle.
- Operates effectively in cross-functional teams with accountability for data quality, security, and scalable data architectures.