Design, build, and maintain scalable Azure-based data pipelines and systems (Databricks, Data Lake, Synapse, ADF). Collaborate with cross-functional teams, ensure data quality and integrity, optimize performance, monitor and troubleshoot systems, and stay current with industry trends to improve solutions.
## Company Overview
Delphic Global is a forward-thinking company dedicated to innovation and excellence in the global market. We pride ourselves on our dynamic work environment and our commitment to fostering talent and growth.
## Job Title
Data Engineer
## Location
India
## Experience Required
6-8 years
## Key Responsibilities
* Design, develop, and maintain scalable data pipelines and systems.
* Collaborate with cross-functional teams to understand data requirements and deliver solutions.
* Implement data solutions using Azure technologies such as Azure Databricks, Data Lake, Synapse, and Azure Data Factory (ADF).
* Optimize and improve existing data systems for better performance and scalability.
* Ensure data quality and integrity through rigorous testing and validation.
* Monitor and troubleshoot data systems to ensure reliability and performance.
* Stay updated with the latest industry trends and technologies to drive continuous improvement.
## Required Skills
* Proven experience in data engineering with a focus on Azure technologies.
* Strong expertise in Azure Databricks, Data Lake, Synapse, and Azure Data Factory (ADF).
* Proficiency in Python and Apache Spark for data processing and analysis.
* Solid understanding of SQL for data manipulation and querying.
* Experience in building and optimizing data pipelines and architectures.
* Ability to work collaboratively in a team environment and communicate effectively.
## Why Join Us?
At Delphic Global, we offer a vibrant work culture that encourages innovation and personal growth. Join us to be part of a team that values diversity, creativity, and collaboration.
Similar Jobs
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead data engineering architecture and execution for large-scale, low-latency analytics. Own technical direction, ensure operational data quality, design streaming and batch pipelines, mentor engineers, coordinate cross-functional teams, and deliver scalable solutions using Spark, Airflow, and AWS or equivalent data platforms.
Top Skills:
AirflowAthenaColumn StoresDatabricksDatabricks ApisEmrFlinkHiveKafkaKappa ArchitectureLambda ArchitectureMaster Data Management (Mdm)Microservices ArchitectureRedshiftSparkSQLStreaming Pipelines
Artificial Intelligence • Information Technology • Machine Learning • Consulting
Support, maintain, troubleshoot, and optimize production Databricks applications, Spark jobs, SQL queries, Delta Lake pipelines, clusters, workflows, and workspace configurations. Implement data quality checks, logging, alerting, governance, security, and cost-management practices. Collaborate on enhancements and bug fixes, reduce technical debt, document operational processes, and participate in EST-aligned support rotations.
Top Skills:
AirflowSparkArm TemplatesAWSAzureAzure Data FactoryDatabricksDatabricks Asset BundlesDatabricks SqlDatabricks WorkflowsDelta LakeGCPGitLakehousePysparkScalaSQLTerraformUnity Catalog
Artificial Intelligence • Cloud • Software
Build and maintain scalable data products using Snowflake, dbt, and Airflow. Responsibilities include dimensional data modeling, SQL transformations, pipeline orchestration, data quality testing, exploratory analysis, SLA monitoring, documentation, and stakeholder requirement gathering. Partner with analytics, product, engineering, and business teams to deliver reliable, production-ready datasets while following software engineering, CI/CD, testing, and deployment practices.
Top Skills:
Apache AirflowDbtPythonSnowflakeSQL
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
