Data Engineer

NARBA; Dadri; On-site; INR 600,000 - 900,000; Full time

Job summary

NARBA is searching for a talented Data Engineer located in Dadri, Uttar Pradesh, with 2–3 years of experience. The candidate should excel in building scalable data pipelines and managing large datasets, demonstrating strong proficiency in SQL and Python.

The role involves developing ETL workflows, optimizing queries, and ensuring data quality. Key responsibilities include collaborating with cross-functional teams to design and manage data architectures. Join NARBA to elevate your career in a dynamic work environment.

Qualifications

• 2–3 years of experience in building scalable data pipelines.
• Hands-on experience with ETL processes and cloud platforms.
• Strong analytical and problem-solving skills.

Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Build ETL/ELT workflows for data ingestion and transformation.
• Develop and optimize SQL queries for large datasets.
• Maintain data quality, integrity, and security.

Skills

SQL

Python

ETL tools

Apache Spark

Hadoop

Kafka

AWS

Azure

GCP

Snowflake

Redshift

BigQuery

Azure Synapse

Airflow

Git

Education

Bachelor's degree in Computer Science or related field

Job description

About The Role

We are looking for a talented Data Engineer with 2–3 years of experience in building scalable data pipelines and managing large datasets. The ideal candidate should have expertise in SQL, Python, ETL processes, cloud platforms, and data warehousing technologies.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Build ETL/ELT workflows for data ingestion and transformation.
• Develop and optimize SQL queries for large datasets.
• Work with structured and unstructured data from multiple sources.
• Maintain data quality, integrity, and security.
• Design and manage data warehouses and data lakes.
• Collaborate with Data Analysts, Data Scientists, and Software Engineers.
• Monitor pipeline performance and troubleshoot data issues.
• Create documentation for data architecture and workflows.

Required Skills

• Strong proficiency in SQL and Python.
• Hands‑on experience with ETL tools and data integration.
• Experience with Apache Spark, Hadoop, or Kafka.
• Knowledge of cloud platforms such as AWS, Azure, or GCP.
• Experience with data warehousing solutions like Snowflake, Redshift, BigQuery, or Azure Synapse.
• Familiarity with Airflow or similar workflow orchestration tools.
• Understanding of database design and data modeling.
• Experience with Git and version control.

Preferred Skills

• Knowledge of PySpark.
• Experience with real‑time data streaming.
• Understanding of data governance and security best practices.
• Familiarity with BI tools such as Power BI or Tableau.
• Strong analytical and problem‑solving skills.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field.