Job Description

We are seeking a skilled

Data Engineer

to design, build, and optimize scalable data pipelines and infrastructure. The ideal candidate will work closely with data analysts, data scientists, and business stakeholders to ensure data is reliable, accessible, and efficient for analytics and decision-making.

Key Responsibilities

Design, develop, and maintain robust

ETL/ELT pipelines

for structured and unstructured data. Build and manage

data warehouses, data lakes, and real-time data platforms

. Ensure

data quality, consistency, and security

across all data systems. Optimize database performance and implement best practices for

scalability and reliability

. Collaborate with data analysts, BI developers, and data scientists to understand data needs. Automate workflows, monitoring, and error handling in data pipelines. Work with

cloud platforms

(AWS, Azure, GCP) and modern data tools to deliver end-to-end solutions. Implement governance standards and contribute to data documentation.

Required Skills & Qualifications

Bachelor's/Master's degree in

Computer Science, Information Systems, or related field

. Proven experience as a

Data Engineer / ETL Developer / Database Engineer

. Strong knowledge of

SQL, Python, and/or Scala/Java

. Hands-on experience with

data integration tools

(e.g., Apache Spark, Kafka, Airflow, Talend, Informatica). Proficiency in

cloud data services

: AWS Redshift, Azure Synapse, Google BigQuery, or Snowflake. Solid understanding of

data modeling, warehousing concepts, and big data technologies

(Hadoop, Hive, etc.). Experience with

CI/CD pipelines, Git, Docker, Kubernetes

is a plus. Excellent problem-solving, analytical, and communication skills.
Job Type: Full-time

Pay: ₹600,000.00 - ₹900,000.00 per year

Experience:

Data Engineer: 3 years (Preferred)
Work Location: In person