Job Title: Senior Data Engineer
Exp: 6-12 Yrs
Notice Period: 0-30 days
Mode of Work: Hybrid
Work Location: Hyd/Pune

We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure that support analytics, reporting, and machine learning initiatives. The ideal candidate has strong experience with SQL, Python, cloud platforms, and modern data engineering tools. You will collaborate with data analysts, data scientists, and software engineers to ensure reliable, high-quality data is available across the organization.
Job Description:
Design, develop, and maintain scalable ETL/ELT data pipelines.
Build and optimize data warehouses, data lakes, and data models.
Integrate data from multiple sources, including APIs, databases, and third-party systems.
Ensure data quality, consistency, security, and governance.
Monitor and troubleshoot data pipelines and resolve performance issues.
Optimize SQL queries and database performance.
Collaborate with cross-functional teams to understand data requirements and deliver solutions.

Requirements




Core Data Engineering & Architecture
Design and build end-to-end data pipelines (ETL/ELT) for structured and unstructured data
Develop scalable data platforms handling terabytes of data with high reliability and low latency
Robust expertise in data modeling, warehousing, and lakehouse architectures
Own data quality, lineage, governance, and observability frameworks
Hands-on experience with Spark, Hadoop, Kafka, Flink (batch + real-time processing)
Build and optimize high-throughput, distributed data systems
Experience in streaming + event-driven architectures for large-scale financial data
Deep expertise in AWS / Azure / GCP (Data Lakes, Warehouses, Compute, Storage)
Tools: Databricks, Snowflake, Redshift, Synapse, BigQuery
Pipeline orchestration using Airflow, Prefect, or similar frameworks
Strong coding in Python, SQL, Scala
Focus on performance optimization, reliability, and production-grade s

📌 Senior Data Engineer (Hyderabad)
🏢 DataEconomy
📍 Hyderabad