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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 skilled experience in a Data Engineering role.

• Solid 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 explicit 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

Apply on Kit Job: kitjob.in/job/44gorj

📌 Data Engineer Nellore
🏢 Innodata
📍 Nellore