This role is for one of Weekday’s clients Salary range: Rs 1600000 - Rs 2500000 (ie INR 16 - 25 LPA)
Min Experience: 3+ years Location: Gurugram, Haryana, India JobType: full-time
We are looking for a skilled and detail-oriented Data Engineer with 3–5 years of experience in data engineering, data warehousing, and data management. The ideal candidate will have strong expertise in designing, developing, and maintaining scalable data pipelines and robust data warehouse solutions that support business intelligence, reporting, and analytics.
The candidate will be responsible for collecting, transforming, integrating, and organizing data from multiple sources to ensure its accuracy, consistency, and accessibility. This role requires a strong understanding of data warehousing concepts, ETL/ELT processes, database technologies, and data modeling. The Data Engineer will collaborate with data analysts, business stakeholders, and technical teams to build reliable data infrastructure and enable data-driven decision-making.
Requirements
Key Responsibilities
1. Data Warehousing
Design, develop, and maintain scalable data warehouse solutions to support business reporting and analytical requirements.
Build and optimize data models, including dimensional models, star schemas, and snowflake schemas.
Develop and manage data structures, tables, views, and relationships to ensure efficient data storage and retrieval.
Implement data integration processes to consolidate information from multiple operational systems and external sources.
Monitor data warehouse performance and optimize queries, indexing, and storage for improved efficiency.
Ensure data quality, consistency, integrity, and security across warehouse environments.
2. Data Pipeline Development
Design, build, and maintain reliable ETL/ELT pipelines for extracting, transforming, and loading data.
Develop automated workflows to process structured and semi-structured data from different sources.
Identify and troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks.
Implement validation checks and monitoring mechanisms to ensure data accuracy and pipeline reliability.
Document data flows, transformation logic, and technical processes for maintainability.
3. Data Engineering
Develop scalable data processing solutions using appropriate programming languages and data technologies.
Integrate data from databases, APIs, cloud platforms, and other business applications.
Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions.
Follow best practices for data governance, access control, security, and efficient data processing.
Contribute to improving existing data architecture, automation, and engineering workflows.
4. Data Analysis and Business Support
Work closely with data analysts and business teams to provide reliable, analysis-ready datasets.
Support the development of dashboards, reports, and business intelligence solutions.
Investigate data trends, anomalies, and discrepancies to identify potential data quality issues.
Translate business requirements into appropriate data models and processing workflows.
Must-Have Skills
Strong knowledge of Data Warehousing concepts and architecture.
Experience with data modeling, ETL/ELT processes, and data integration.
Proficiency in SQL and relational databases.
Understanding of database performance optimization and data quality management.
Strong analytical thinking, troubleshooting, and problem-solving abilities.
Good-to-Have Skills
Experience in Data Engineering and building automated data pipelines.
Knowledge of Data Analysis and business intelligence tools.
Familiarity with Python or similar programming languages.
Exposure to cloud data platforms and modern data warehouse technologies.
Experience with workflow orchestration and data pipeline monitoring tools.
Qualifications and Experience
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
3–5 years of relevant experience in data engineering, data warehousing, or database development.
Strong communication skills and the ability to collaborate effectively with technical and non-technical stakeholders.
... experienced Data Engineer to manage in-progress and upcoming data infrastructure projects. The candidate will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline ...
Purpose of Job We are looking for a Senior Data Engineer who is equally strong on the data side (modelling, data quality, SQL, understanding the business) and the engineering side (Python, PySpark, CI/CD, performance, reliability). You will own the design and delivery of production data platforms from requirements to production ...
... scalable data pipelines and third-party API integrations. - Work with business teams and analysts to interpret business rules and derive insights. - Implement data-quality processes, monitoring, and alerting to maintain accurate and available production data. - Analyze and troubleshoot data issues and assist with their resolution. ...
... Data Frames using PySpark • Conduct complex data analysis and report on results. • Combine raw information from different sources. • Explore ways to enhance data quality and reliability. Required Skills: • 4-5 years of data engineering experience loading, analyzing and interpreting data. • Solid experience with AWS Glue, ...
... measurable business outcomes Overview We are seeking skilled Data Engineers to join our Data & Digital Twin Foundation team. You will design, build, and maintain data pipelines that power digital twin platforms, real-time operational systems, and AI/ML workloads. Working closely with data architects, simulation engineers, and ...
... analysis and reporting. - Implement and monitor data quality frameworks to ensure the integrity, consistency, and reliability of all data assets. - Optimize database queries and data models to enhance system performance and reduce latency. - Engineer end-to-end ETL and ELT workflows to facilitate seamless data movement ...
... effective solutions - Ensure adherence to best practices related to data governance, quality, and security across all data pipelines - Automate and optimize data processing tasks to improve reliability and reduce manual intervention - Drive adoption of emerging big data technologies, cloud engineering, and automation practices ...
Amgen seeks a Level 4 Data Engineer to design, build, and maintain data solutions that drive business decisions. The role involves developing ETL pipelines, managing large datasets, implementing data governance, and collaborating across teams to deliver scalable data infrastructure. Responsibilities - Design, develop, and ...
... and analytics. - Implement data quality checks, validation frameworks, monitoring, error handling, and pipeline performance improvements. - Collaborate with Data Analysts, Data Scientists, Product Teams, and Business Stakeholders to understand requirements and deliver scalable data solutions. - Follow data engineering ...
... subordinate team members to meet established timelines. Requirements - 3–5 years of experience. - Knowledge of SQL and Python. - Experience or knowledge of data engineering, data modelling, ETL/ELT development, data pipelines, cloud data platforms, database management, data warehousing, and data lakes. - Knowledge of data analysis, ...
... experience with Hadoop / Big Data platforms.- Strong exposure to Big Data platform engineering and related technologies.- Experience working on/with complex data platforms and large-scale data environments.- The requirement is specifically for a Data Engineer / Big Data Engineer, not a generic application/development profile.- ...