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 solid 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.

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

Strong 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 systems

Experience with CI/CD, DevOps, and infrastructure-as-code

Ability to design architectures and make technology decisions at scale Strong understanding of:

Trade lifecycle, transactions, risk, compliance, regulatory reporting

Customer 360, payments, lending, capital markets data and Wealth Management Business

GenAI / LLM integration (RAG, embeddings, vector stores)

Lead legacy-to-cloud data platform migrations

Drive data re-engineering, system decomposition, and modernization initiatives

Drive resilience, failover, and incident response frameworks

Work across engineering, data science, risk, compliance, and product teams

Ability to translate business needs (risk, reporting, revenue) into data solutions

Mentor engineers and drive engineering best practices and standards Benefits

Standard Company Benefits

📌 Senior Data Engineer (Hyderabad)
🏢 DataEconomy
📍 Hyderabad