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Urgent! Data Engineer Job | Digitalzone
About the Role
As a Data Engineer, you will design, build, and optimize data pipelines and real-time systems that power AI-driven decisioning and analytics.
Responsibilities
Develop and maintain scalable ETL/ELT pipelines using Python, Airflow, and dbt
Build and optimize real-time streaming pipelines using Kafka, RabbitMQ, Spark and event-driven microservices
Leverage AI coding agents (Claude Code, Cursor AI, GitHub Copilot) to accelerate data pipeline development, data transformation, and optimization
Design and manage data storage solutions with PostgreSQL, ClickHouse and Elasticsearch
Define and implement data modeling best practices for efficient and scalable data storage.
Ensure high availability, performance, and security of data infrastructure on AWS cloud
Design and implement BI-ready datasets in ClickHouse optimized for OLAP workloads and reporting use cases.
Develop and manage denormalized schemas and data models to support analytics and amCharts-based reporting.
Optimize query performance, partitioning, and indexing strategies in ClickHouse to handle large-scale analytical workloads.
Implement best practices for data quality, validation, and observability
Work on data ingestion using Airbyte or other connector frameworks
Implement data transformation pipelines supporting analytical and ML workloads
Collaborate with cloud and DevOps teams for containerized deployments (Docker, Kubernetes, AWS)
Support integration of ML workflows and model APIs into production pipelines
Qualifications
6+ years of hands-on experience in data engineering and distributed systems.
Required Skills
Experience with AI-assisted coding tools (Claude Code, GitHub Copilot, Cursor AI)
Strong expertise in ClickHouse for analytics, including data modeling, partitioning, indexing, and query optimization.
Proven ability to design and manage denormalized OLAP datasets to support BI and reporting workloads.
Solid understanding of ETL/ELT pipelines and experience with tools such as Airbyte, DBT, Airflow or Python-based transformations.
Proficiency in SQL (advanced queries, performance tuning, window functions, aggregations).
Hands-on experience working with reporting/visualization frameworks (e.g., amCharts or similar libraries).
Strong foundation in data quality, governance, and validation to ensure reliable analytics.
Strong knowledge of real-time data streaming (Kafka, Spark)
Experience with relational and analytical databases (Postgres, ClickHouse, Elasticsearch)
Exposure to ML model integration, MLOps is a strong plus
Strong problem-solving, debugging, and cross-team collaboration skills
Preferred Skills
Experience with relational and analytical databases (Postgres, ClickHouse, Elasticsearch)
Exposure to ML model integration, MLOps is a strong plus
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Unlock Your Data Engineer Potential: Insight & Career Growth Guide
Real-time Data Engineer Jobs Trends in Erode, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Engineer in Erode, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 620952 jobs in India and 4472 jobs in Erode. This comprehensive analysis highlights market share and opportunities for professionals in Data Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Digitalzone is currently hiring and seeking a Data Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data Engineer Jobs Erode.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Digitalzone adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Engineer Jobs India varies, but the pay scale is rated "Standard" in Erode. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data Engineer interview at Digitalzone, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Digitalzone's products or services and be prepared to discuss how you can contribute to their success.
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