30,414 data entry civil engineering jobs in India.

... of the underlying concepts. - Experience building and maintaining data pipelines in a production or production-like environment. - Ability to test and monitor data for anomalies and to troubleshoot pipeline issues. - Understanding of standard software engineering practices: version control, code reviews, testing, and agile ...

... for a highly skilled Data Engineer with a strong foundation in Power BI, SQL, Python , and Big Data ecosystems to help design, build, and optimize end-to-end data solutions. The ideal candidate is passionate about solving complex data problems, transforming raw data into actionable insights, and contributing to data-driven ...

... Net Zero by 2040. What you'll be doing Build, maintain, and monitor automated data pipelines on the Group's cloud data platform, transforming raw transactional data into reporting schemas and developing BI dashboards to deliver reliable, analytics-ready data. • Build, maintain, and monitor automated ETL/ELT data pipelines ...

... 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 Integration: Manage and integrate large datasets from diverse sources including government reports, industry contacts, and internal systems. - Feature Engineering & Modeling: Apply statistical techniques and feature engineering to enhance data quality and predictive capabilities. - Visualization & Reporting: Develop ...

... governance initiatives. • Collaborate with data management and data science teams to enhance data capabilities and innovation. Experience - • 3+ years' experience in data analytics preferably within the energy or automotive sector • Bachelor's degree or equivalent in Mathematics, Statistics, Computer Science, Engineering, Economics, ...

... 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, ...

... Structured Streaming for continuous data processing - Delta Live Tables for declarative, quality-enforced pipelines Data Quality - Delta Live Tables expectations for data validation - Data profiling and anomaly detection Preferred Qualifications - 7+ years of hands-on data engineering experience - Track record of building and maintaining ...

... Skills - Possess 4 to 7 years of professional experience in data engineering within the IT Services sector. - Demonstrated expertise in working with cloud-based data platforms (AWS, Azure, or GCP). - Proficiency in developing and managing data integration, transformation, and pipeline monitoring tools. - Strong command of ...

... 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 ...

... frameworks, data protection regulations, and compliance requirements - Experience designing and implementing AI solutions using LLMs, RAG, vector search, and prompt engineering - Knowledge of Python/R, data modeling, data warehousing, and cloud data integration concepts - Excellent problem-solving, communication, and collaborative ...

... 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, ...

... execution hints to improve performance. - IBM DataStage experience preferred. - Able to write SQL code sufficient for most business requirements for pulling data from sources, applying rules to the data, and stocking target data - Proven track record in troubleshooting ETL jobs and addressing production issues like performance ...

... Science, IT, or related field with 5-9 years experience - Hands-on expertise with big data platforms including Databricks and Apache Spark - Proficiency in SQL and data visualization tools; strong data governance knowledge - Experience with ETL/ELT processes, data modeling, and data warehousing concepts - Familiarity with Python/R, ...

... participate in design reviews, and help keep our schemas and contracts sane as the system grows What You'll Bring Must have - 1–3 years of professional software engineering experience, with meaningful exposure to data-intensive systems - Strong programming skills in Python, Java, or Scala, and the ability to write production-quality, ...

Baxter seeks a Data Engineer to develop and support ETL and data transformation jobs using PySpark and IBM DataStage in AWS. The role involves building new pipelines, enhancing existing systems, performing code reviews, and providing technical support for a global data warehouse. Responsibilities - Develop new ETL and data ...

... companies - Generate visual and textual explanations for AI model predictions MAIN RESPONSIBILITIES: - The Data Lab brings together Data Science and Software engineering skills to develop and deploy solutions that improve the company's processes, products and services. - The team seeks to make use of AI and data science techniques ...