Data Engineer

Quadrant Technologies; Hyderabad; Presencial; INR 1.800.000 - 3.200.000; Jornada completa

Descripción de la vacante

Quadrant Technologies in Hyderabad seeks a seasoned Data Engineer to design, build and optimize data pipelines using Python, PySpark and SQL.

You will work on ETL/ELT processes, perform data cleansing and validation, and collaborate with the data team to ensure data accuracy and quality on large datasets. Strong problem-solving and communication are essential, plus a willingness to learn new technologies.

Formación

• 12 years of experience in Data Engineering.
• Hands-on knowledge of Python, PySpark, and SQL.
• Basic to working knowledge of Databricks and Apache Spark.
• Understanding of ETL/ELT concepts and data pipeline development.
• Knowledge of data transformation and data processing.
• Strong analytical and problem-solving skills.
• Good communication and willingness to learn new technologies.

Responsabilidades

• Develop and maintain data pipelines using Python, PySpark, and SQL.
• Work on ETL/ELT processes and data integration tasks.
• Perform data processing and transformation using PySpark and Databricks.
• Write, execute, and optimize SQL queries.
• Assist in building scalable data workflows and monitoring data quality.
• Perform data cleansing, validation, and troubleshooting on large datasets.
• Collaborate with team members to support data engineering projects.

Conocimientos

Python

PySpark

SQL

ETL/ELT concepts

Data pipelines

Data transformation

Data processing

Data cleansing

Data quality

Analytical thinking

Herramientas

Databricks

Apache Spark

Descripción del empleo

Role & responsibilities

• Develop and maintain data pipelines using Python, PySpark, and SQL.
• Work on data extraction, transformation, and loading (ETL) processes.
• Perform data processing and transformation using PySpark and Databricks.
• Write, execute, and optimize SQL queries.
• Assist in building and maintaining scalable data workflows.
• Perform data cleansing, validation, and troubleshooting.
• Work with large datasets and ensure data accuracy and quality.
• Collaborate with team members to support data engineering projects.

Preferred candidate profile

• 12 years of experience in Data Engineering.
• Hands‑on knowledge of Python, PySpark, and SQL.
• Basic to working knowledge of Databricks and Apache Spark.
• Understanding of ETL/ELT concepts and data pipeline development.
• Knowledge of data transformation and data processing.
• Strong analytical and problem-solving skills.
• Good communication and willingness to learn new technologies.