Data Engineer

Jobtailor; Dadri; On-site; INR 900,000 - 1,200,000; Full time

Job summary

Jobtailor in India’s Uttar Pradesh region seeks a data engineer to build and optimize scalable data pipelines and ETL/ELT processes using Databricks, Spark, Python, and SQL. You will design ingestion frameworks, create Snowflake data models, and ensure data quality and governance across platforms.

You will collaborate with data scientists, analysts, and stakeholders to translate data requirements into robust solutions and participate in architecture discussions to drive process improvements.

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

• 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 stakeholders, analysts, and data scientists to understand data requirements and deliver solutions.
• Participate in architecture discussions, PoCs, 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.

Skills

Analytical Skills

Problem-Solving Skills

Communication Skills

Collaboration Skills

SQL

Education

Bachelor or Master in CS/IT/Eng/Data Science

Tools

Databricks

Apache Spark

Snowflake

Azure

AWS

GCP

Job description

• 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.

Requirements

• 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.

Core Competencies

Demonstrates expertise in building and optimizing scalable data pipelines using ETL/ELT processes with tools like Databricks, Spark, and SQL. Strong analytical skills and collaboration with stakeholders to ensure data quality and governance.

Highest-signal resume keywords

• ETL/ELT Processes
• Databricks
• Apache Spark
• SQL
• Data Modeling

Hard Skills

• Python
• Data Warehousing Concepts
• Data Ingestion Frameworks
• Data Pipeline Performance Monitoring
• Data Quality Standards

Soft Skills

• Analytical Skills
• Problem-Solving Skills
• Communication Skills
• Collaboration Skills

Industry Keywords

• Data Governance
• Data Security
• Data Architecture
• Data Mart

Tools & Technologies

• Snowflake
• Azure
• AWS
• GCP