Data Engineer

Role Summary

We are looking for a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. This role will focus on enabling reliable data ingestion, transformation, and access for analytics and business use.

Key Responsibilities

Design, develop, and maintain robust ETL/ELT pipelines for structured and unstructured data

Build and optimize data architectures, including data lakes and data warehouses

Ensure data quality, integrity, and governance standards are maintained

Collaborate with Data Analysts, Data Scientists, and business teams to understand data requirements

Implement data integration solutions from multiple sources (APIs, databases, third-party systems)

Monitor and troubleshoot pipeline performance and data issues

Support data modeling and schema design for analytics consumption

Automate workflows and improve pipeline efficiency and scalability

Ensure compliance with security and privacy standards

Required Skills & Experience

5-7 years of experience in Data Engineering or similar role

Strong programming skills in Python, Scala, or Java

Hands-on experience with SQL and relational databases (e.g., PostgreSQL, SQL Server)

Experience with cloud platforms (AWS, Azure, or GCP)

Working knowledge of data pipeline tools (e.g., Airflow, DBT, Informatica)

Experience building/working with data warehouses (Snowflake, Redshift, BigQuery)

Familiarity with big data technologies (Spark, Hadoop)

Understanding of data modeling concepts (star/snowflake schema)

Nice to Have

Exposure to real-time/streaming pipelines (Kafka, Kinesis)

CI/CD and DevOps practices for data pipelines

Experience with data governance and cataloging tools

Salary Range : 75-95k