ETL Jobs

I need a clear, descriptive look at past inventory activity captured in our Oracle ERP system. The goal is a concise summary report that tells me, at a glance, how stock levels have moved, where turnover is strong or weak, and which items or locations stand out as anomalies. You will extract the relevant inventory tables (or work with a CSV extract I provide), shape the data with SQL or any preferred ETL approach, and present the findings in an executive-friendly format. Accuracy and interpretability are more important than advanced forecasting; this is strictly descriptive analysis. Core deliverables • Cleaned and consolidated dataset of historical inventory transactions • Executive summary report highlighting key metrics (stock movement, average holding days, turnover, no...

I need a clear, descriptive look at past inventory activity captured in our Oracle ERP system. The goal is a concise summary report that tells me, at a glance, how stock levels have moved, where turnover is strong or weak, and which items or locations stand out as anomalies. You will extract the relevant inventory tables (or work with a CSV extract I provide), shape the data with SQL or any preferred ETL approach, and present the findings in an executive-friendly format. Accuracy and interpretability are more important than advanced forecasting; this is strictly descriptive analysis. Core deliverables • Cleaned and consolidated dataset of historical inventory transactions • Executive summary report highlighting key metrics (stock movement, average holding days, turnover, no...

Who are we looking for? Were looking for experienced data practitioners, data analysts, engineers, or BI specialists with strong communication and writing skills to contribute technical articles to our blog. Your mission? Share hands-on experience, real-world examples, and practical tips to help fellow data professionals work smarter. Who are we? ClicData is an all-in-one data management and business intelligence platform (SaaS), offering data connectivity, warehousing, ETL, data visualization, and automation. Our audience includes data professionals and data-savvy business leaders, primarily in mid-market companies across North America. Why write with us? - Were looking for long-term collaborators not one-off gigs. That means predictable, recurring income for you. - You'll be credi...

I need an IBM Infosphere MDM specialist who can take ownership of our data-integration layer and help me raise accuracy and consistency across the platform. The engagement is fully remote but you must sit somewhere in Europe so we can work within a comfortable time-zone overlap; fluent English is essential for day-to-day collaboration. My priority is Data Integration. Multiple operational databases, several cloud services and a growing set of partner-facing APIs all need to flow cleanly into the MDM hub. I already have core MDM services online, yet duplicate records and mismatched attributes keep creeping in. Your job is to analyse the current ingestion routes, design (or redesign) the mappings, and configure the Infosphere components—Integration Hub, DataStage, QualityStage, or a...

I need an experienced Python engineer who works confidently with AWS Glue to build and manage a small suite of data-integration jobs for a Hyderabad-based project. The core of the work is to design and automate Glue ETL pipelines that pull data from our production databases, catalog it accurately, and transform it into analytics-ready tables. Here is what I expect from the engagement: • Develop, test, and deploy Glue ETL jobs in Python. • Populate and maintain the Glue Data Catalog so new tables are discoverable and properly version-tracked. • Implement efficient transformation logic that cleans, enriches, and partitions data for downstream reporting. • Optimise job performance and cost by selecting the right worker types, job parameters, and database connectio...

I need an experienced Python engineer who works confidently with AWS Glue to build and manage a small suite of data-integration jobs for a Hyderabad-based project. The core of the work is to design and automate Glue ETL pipelines that pull data from our production databases, catalog it accurately, and transform it into analytics-ready tables. Here is what I expect from the engagement: • Develop, test, and deploy Glue ETL jobs in Python. • Populate and maintain the Glue Data Catalog so new tables are discoverable and properly version-tracked. • Implement efficient transformation logic that cleans, enriches, and partitions data for downstream reporting. • Optimise job performance and cost by selecting the right worker types, job parameters, and database connectio...

I need an experienced Python engineer who works confidently with AWS Glue to build and manage a small suite of data-integration jobs for a Hyderabad-based project. The core of the work is to design and automate Glue ETL pipelines that pull data from our production databases, catalog it accurately, and transform it into analytics-ready tables. Here is what I expect from the engagement: • Develop, test, and deploy Glue ETL jobs in Python. • Populate and maintain the Glue Data Catalog so new tables are discoverable and properly version-tracked. • Implement efficient transformation logic that cleans, enriches, and partitions data for downstream reporting. • Optimise job performance and cost by selecting the right worker types, job parameters, and database connectio...

Job Title: Technical Specialist working US hours Reports To: Technical Services Manager Job Overview We are seeking a resourceful and proactive Technical Specialist to join our Technical Services Team. As part of a team that provides custom solutions for clients, including custom reports, scripts, integrations, and data migrations, you will play a key role in bridging the gap between clients' business needs and our development team’s technical expertise. This role requires strong analytical skills, initiative, and the ability to problem-solve independently. You will also work closely with developers, Customer Success Managers, and clients to deliver tailored solutions. Responsibilities • Data Migrations: Oversee data migration processes from legacy systems to our newest pr...

Overview We are looking for a Senior Data Engineer to join the team that owns our core data product, the platforms and infrastructure that support it, and the data services consumed by our customers. You will work closely with other engineers, product stakeholders, and customers to design, build, and operate production-grade data systems, focusing on reliable ingestion, transformation, and exposure of data through APIs and product integrations. As a senior member of the team, you will be expected to help set technical standards, improve data quality and operational reliability, and contribute to shared ownership of systems from design through to reliable operation in production environments. What you’ll do • Design, build, and maintain data ingestion pipelines • Develop and...

- **Core Architecture:** Spring Cloud + Kafka + Hadoop + Python Automation，This project requires a certain level of technical expertise.

I run a data platform built on Spark and Python, and I need an experienced engineer who can sit with me in Pune three to four times a week (hardly 2 hours in a day) to keep it running smoothly. Most of the immediate work revolves around tracking down bugs in existing PySpark jobs, but the role naturally extends to writing fresh code when gaps appear, tightening our data-pipeline orchestration, and mapping end-to-end data lineage so every downstream consumer stays confident in their numbers. Typical day-to-day work you will tackle: • Debug production PySpark jobs and accompanying Python utilities • Refactor or rewrite modules where quick fixes will not suffice • Optimise and monitor pipeline schedules (Palantir Foundry) • Document lineage and hand off clear, repro...

I have an existing analytics initiative that now needs a dedicated Redshift-based warehouse. The core objective is to design and implement a robust schema in Amazon Redshift, then ingest data coming from three different sources—our operational SQL databases, a set of RESTful APIs, and periodic flat-file drops in CSV or JSON. Here is what I’m aiming for: • A well-structured Redshift warehouse (star or snowflake schema, whichever is most appropriate) built to scale and documented clearly. • Reliable, automated ingestion pipelines for each source type. For SQL we currently use PostgreSQL and MySQL; for APIs the payloads are mostly JSON; the flat files live in S3. • Transformations that standardise data types, handle slowly changing dimensions, and enforce dat...