Job Role Data Engineer

Location Noida (Hybrid)

Key Responsibilities

Build and optimize end-to-end ETL/ELT pipelines for structured and semi-structured data using Python,

PySpark and Databricks.

Automate complex workflows using Apache Airflow and manage cloud-native services (AWS Glue/Lake

Formation or Azure Data Factory).

Implement real-time ingestion layers using Kafka, AWS MSK, or Kinesis to ensure low-latency data

availability.

Maintain and query relational databases (SQL Server, Oracle) while ensuring high data integrity and

performance.

Manage code versions via Git and contribute to CI/CD pipelines for automated cloud resource

deployment.

Technical Requirements

4+ years of professional experience in a Data Engineering role.

Strong proficiency in Python and SQL.

Hands-on experience with Spark/Databricks for large-scale processing.

Proven experience in either AWS (Glue, Kinesis, Lake Formation) or Azure (ADF, Event Hubs), GCP

(BigQuery).

Ability to translate technical pipeline architecture into clear business value for stakeholders.

Good to Have

Experience with Geospatial data formats and algorithms.

Experience with AI/ML.

Experience with Trino SQL.

Familiarity with NoSQL environments (ElasticSearch, Graph Databases).

Web fundamentals: Basic knowledge of React/TypeScript for data-heavy applications

Data Engineer