Data Engineer
About the Role
We are looking for passionate and curious Data Engineers who enjoy solving complex data challenges and building modern data platforms. If you love working with large-scale data, designing efficient pipelines, exploring cloud technologies, and continuously learning new tools, this role is for you. Hands-on experience or strong interest in Databricks, Snowflake, Spark, SQL, Python, and cloud-based data engineering is highly desirable. Whether through academic projects, certifications, hackathons, or personal initiatives, we value candidates who demonstrate a genuine passion for data and a drive to build innovative data solutions.
Key Skills for This Role
Full Job Posting
Qualifications
- Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical field.
- Strong foundation in SQL and database concepts.
- Good programming skills in Python or a similar language.
- Understanding of data warehousing concepts, ETL/ELT processes, and data modeling.
- Familiarity with Databricks, Apache Spark, Snowflake, or cloud data platforms through academic projects, internships, certifications, hackathons, or personal projects.
- Basic knowledge of cloud platforms such as Azure, AWS, or GCP is a plus.
- Strong analytical and problem-solving skills with a passion for learning modern data engineering technologies.
- Excellent communication and collaboration skills.
Responsibilities
- 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.
- Participate 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.
Preferred Qualifications
- Basic knowledge of cloud platforms such as Azure, AWS, or GCP is a plus.
About EXL
EXL is a global data and AI company that provides analytics, digital operations, and industry-specific services to enterprises in insurance, healthcare, banking, retail, media, and energy.
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