Hadoop Jobs

Looking for an Experienced Data Engineer Project Description I am looking for a skilled Data Engineer to help design, build, and maintain reliable data pipelines and infrastructure. The work may include collecting data from different sources, cleaning and transforming it, and storing it in a database or data warehouse. You may also work with APIs, cloud services, ETL workflows, and large datasets. The ideal candidate should have strong experience with Python, SQL, data modeling, and ETL/ELT pipelines. Experience with AWS, GCP, or Azure is preferred. Knowledge of tools such as Airflow, Spark, Kafka, Snowflake, BigQuery, or Databricks would be a plus. Please include the following in your proposal: A short introduction about your Data Engineering experience Examples of similar projects ...

Swiggy Sales Data Analysis Analyzed a large Swiggy orders dataset (196K+ records) using SQL and Python. Performed data cleaning, handled missing values and outliers, and conducted exploratory data analysis to identify sales trends, customer behavior, restaurant performance, and order patterns. Created visualizations and generated actionable business insights to support data-driven decision-making. Blinkit Sales Dashboard (Power BI) Designed an interactive Power BI dashboard to analyze sales performance, product categories, outlet performance, and customer purchasing trends. Used Power Query for data transformation and DAX measures to calculate KPIs, enabling stakeholders to monitor business performance effectively. Used Car Price Prediction Built a machine learning regression model in Pyth...

Senior Data Engineer Needed for Cloud Data Pipelines and Data Warehouse We are looking for an experienced Senior Data Engineer to help design, build, improve, and maintain our data platform. The selected freelancer will work with our team to develop reliable data pipelines, integrate multiple data sources, improve data quality, and prepare analytics-ready datasets. Responsibilities: • Design and develop scalable ETL and ELT pipelines • Integrate data from APIs, databases, files, and third-party platforms • Build and optimize data warehouse models • Write efficient Python and SQL code • Configure workflow orchestration, monitoring, logging, and error handling • Troubleshoot pipeline failures and performance issues • Implement data-quality checks and va...

I’m putting together an intensive technical-skills program for an engineering college in Greater Noida and want to bring in seasoned trainers who can own three distinct tracks: Full Stack Development, Data Structures & Algorithms, and Artificial Intelligence. For the Full Stack stream I need someone who is equally comfortable running hands-on sessions in both Python/Django and Java/Spring Boot, guiding students through end-to-end project builds and deployment best practices. The DSA track must dig deep into core interview-level concepts, especially sorting & searching, graph algorithms, and dynamic programming, with plenty of white-board problem solving and live coding. In the AI track, I’m looking for a practitioner who can translate theory into practical lab ...

I’m building a new web-based platform whose core value is clear, interactive data-visualization. To get there I need an experienced Nigerian software engineer who is equally at home designing back-end services and shaping the data that feeds them. Your first mandate will be to architect and code the full data pipeline—from ingestion through transformation to storage—so that the front-end team always has clean, query-ready information. You’ll also dive into exploratory and diagnostic analysis, helping us uncover trends that inform product decisions and power the visual stories we show users. The stack is flexible, but you should be comfortable with modern data-engineering tools (think Python or Scala for ETL, SQL-based warehouses, stream processing frameworks, ...

I need an Oracle HCM Cloud reporting specialist who can build and fine-tune custom BI Publisher reports and HCM Extracts for the Core HR and Talent Management modules now in production. I already have functional requirements and sample layouts; what I’m missing is the technical horsepower to translate those into performant, secure, and easy-to-maintain deliverables that run seamlessly in our cloud environment. The work involves: • Designing data models, SQL, and fast-performing queries against HCM public views • Creating RTF/Excel/PDF templates, parameter logic, and bursting where needed • Developing HCM Extract definitions that supply downstream systems with clean, validated data • Applying role-based security so only authorised users can run or schedule e...