Python Data Engineer Jobs

We are looking fo AI/ML Engineer with 5+ year experience in Coimbatore.Skills Set:Strong Python (Pandas, NumPy, Scikit-learn)-Deep Learning using TensorFlow or PyTorch-Expertise in time-series modeling and feature engineering-Experience with ETL/ELT pipelines, Docker, Git, CI/CD-Cloud exposure (Azure/AWS) and hybrid deployments-API development (FastAPI preferred)

We are looking for a motivated Data Engineer to join our team. This part-time position allows you to work from home and is suitable for individuals with little to no experience. The ideal candidate will help us manage and process data to ensure it meets the needs of the business.**Key Responsibilities:**- **Data Collection:** Gather data from various sources to prepare for analysis. Its important to ensure the data is accurate and up-to-date.- **Data Cleaning:** Clean and organize raw data to make it usable. This involves removing errors and inconsistencies, which is crucial for reliable analysis.- **Data Storage:** Help in storing data in databases or cloud storage systems. Proper organization helps in easy access and retrieval of data when needed.- **Collaboration:** Work with other team members to understand their data needs. Communication is key to delivering the right data for their projects.- **Support:** Assist in monitoring data systems and providing technical support. Being proactive in identifying issues helps keep the data flow smooth.**Required Skills and Expectations:**Candidates should have a basic understanding of data management principles. Familiarity with data cleaning tools and database management systems is a plus. The ability to learn new software quickly and a strong attention to detail are essential. Good communication skills are important for working with teammates and understanding project requirements. We encourage fresh graduates and those with relevant qualifications to apply.

Job Title: Data ScientistExperience: 7+ YearsLocation: USA/Canada (Remote) or Offshore (Remote)Working Hours: USA ESTJob Description:We are looking for experienced Data Scientists with proven expertise in building Media MixModels (MMM) and Multi-Touch Attribution (MTA) models for a long-term engagementwith Univision. The ideal candidates should have a strong background in AdTech, datascience, and analytics, with the ability to derive actionable insights from large datasets inthe media and OTT domain.Key Responsibilities: Develop advanced MMM (Media Mixed Modeling) and MTA (Multi-touch Attribution)models to optimize marketing and advertising strategies Analyze large volumes of structured and unstructured data to uncover trends,correlations, and actionable insights Build and deploy machine learning models and predictive algorithms to solve complexbusiness problems Gather data from diverse sources, clean and transform it for analysis Apply statistical techniques to validate models and ensure accuracy and reliability Automate analytical workflows and repetitive tasks using AI tools and scripting languages Create compelling visualizations, dashboards, and reports to communicate insights acrossteams Collaborate with cross-functional teams including AdSales, Data Engineering, andAnalytics Stay updated on the latest developments in AI, machine learning, and media analyticsRequired Skills & Experience: Specific MMM Experience: Bayesian methods, causal inference, incrementality testing MTA Expertise: Attribution modeling, customer journey analysis, touchpoint optimization Tools: Python (scikit-learn, statsmodels), R (prophet, CausalImpact), SQL,Tableau/PowerBI 6+ years of experience in data science, analytics, or machine learning roles At least 3 years of experience in AdTech or AdSales systems Hands-on experience in developing MMM and MTA models Strong understanding of OTT, digital media, and advertising ecosystems Proficiency in programming languages like Python, R, or SQL for data manipulation andmodeling Experience working with large datasets, data pipelines, and BI/reporting tools Familiarity with statistical methods, experiment design, and model evaluation metrics Excellent problem-solving, communication, and stakeholder management skil

Mandatory Criteria (Can't be neglected during screening) : Looking for Only BTech and BE candidates. Candidate should have Hands-on development experience as Data Analyst and/or ML Engineer. Candidate must have Coding experience in Python. Need candidates with atleast 1-2years of ML experience. Candidate should have Good Experience with ML models and ML algorithms. Need Experience with statistical modelling of large data sets. Looking for Immediate joiners or max. 30 days of Notice Period candidates. The candidates based out of these locations - Bangalore, Pune, Hyderabad, Mumbai, will be preffered. Kindly note Salary bracket will vary according to the exp. of the candidate - - Experience from 4 yrs to 5 yrs - Salary range - 15 LPA - 21 LPA max.- Experience from 6 yrs to 7 yrs - Salary range - 21 LPA - 25 LPA- Experience of 8 yrs to 9 yrs - Salary range - 30 LPA - 32 LPA- Experience 10 yrs to 12 yrs - Salary upto 40 LPA max.What You will do: Play the role of Data Analyst / ML Engineer Collection, cleanup, exploration and visualization of data Perform statistical analysis on data and build ML models Implement ML models using some of the popular ML algorithms Use Excel to perform analytics on large amounts of data Understand, model and build to bring actionable business intelligence out of data that is available in different formats Work with data engineers to design, build, test and monitor data pipelines for ongoing business operationsBasic Qualifications: Only BTech and BE candidates. Experience: 4+ years. Hands-on development experience playing the role of Data Analyst and/or ML Engineer. Experience in working with excel for data analytics Experience with statistical modelling of large data sets Experience with ML models and ML algorithms Coding experience in PythonNice to have Qualifications: Experience with wide variety of tools used in ML Experience with Deep learningBenefits: Competitive salary. Hybrid work model. Learning and gaining experience rapidly. Reimbursement for basic working set up at home. Insurance (including a top up insurance for COVID).

We are looking for Senior Data Engineer (Snowflake / dbt / Dagster / AI-Assisted Development) with 5+ Year Experience in Chennai.Design and optimize data pipelines from SQL Server to Snowflake Work with healthcare data formats including EDI 835 / 837 if applicable Use AI tools (LLMs, code assistants, automation agents) to improve engineeringproductivity and quality

We are looking Data Engineer with 1 to 3 years experience in Chennai.Immediate joiners preferred

Role: Quality Assurance Engineer (Data & API)SUMMARYThe Quality Assurance Engineer partners with Engineering, Data, and Developmentteams to ensure client requirements are implemented correctly and reliably acrosshighvolume data pipelines. This role reviews requirements, designs test strategies, andexecutes automated and manual validation-emphasizing shiftleft practices andrepeatable automation. Candidates are former developers or Software DevelopmentEngineer in Test (SDET) who can effectively test large datasets, craft complex SQL fordata comparisons, and collaborate within a single, shared sprint cadence.ESSENTIAL DUTIES AND RESPONSIBILITIES Configure, implement, and maintain automated testing frameworks for data and APIvalidation (DBT tests, Pytest, SQL validators). Translate JIRA user stories and acceptance criteria into comprehensive test plans,scenarios, and data validation scripts. Ensure requirements traceability by mapping test cases and validation scriptsdirectly to client requirements and acceptance criteria, maintaining cleardocumentation throughout the lifecycle. Design and execute unit, integration, smoke, regression, and endtoend tests alignedto the recommended QA & automation framework. Validate large datasets for completeness, accuracy, timeliness, lineage, and schemaconformance, author complex SQL for data comparison. Coordinate with Engineering to enable shiftleft testing - QA participates ingrooming, planning, and daily standups; quality is a shared responsibility. Assist with user acceptance testing (UAT) and production validation, includingpostrelease smoke testing and regression cycles. Analyze test outputs, identify defects, document issues, and drive rootcauseanalysis; champion environment parity (VAL mirrors PROD). Contribute to release governance: freeze windows, QA gates, rollback plans, andrelease logs; ensure test evidence is captured. Continuously improve tools, templates, and processes; propose JIRA automation toautocreate QA stories from engineering stories. Develop domain knowledge of client data products, pipelines, integrations, and KPIs. Maintain comprehensive test documentation, including test cases, scripts, andresults, to support audits and compliance. Conduct performance and security testing as required to ensure robust, scalable,and secure solutions. Advocate for user experience and usability in all testing activities.AGILE & COLLABORATION EXPECTATIONS Active participant in Agile ceremonies (grooming, planning, standups, demos, retros)within a single, shared sprint cadence. Story readiness includes defined test criteria and data availability; QA estimatestracked alongside development. Promote predictable velocity by integrating automated tests into CI; definition ofdone includes -tested and validated.- Stay current with emerging QA tools, technologies, and best practices; proactivelyrecommend improvements to processes and frameworks.REQUIRED QUALIFICATIONS Former software developer or SDET with handson coding experience (Pythonpreferred). Expertise in SQL and relational databases; able to design complex validationqueries for large datasets. Demonstrated experience testing data pipelines, ETL/ELT workflows, and APIs inhighvolume environments. Practical knowledge of Airflow (or similar orchestration), DBT, and CI systems;experience validating DAG executions. Proficiency with automated testing tools (Selenium/Cucumber/Playwright for UIwhere applicable; Pytest for services; DBT for data). Proficiency with version control systems (e.g., Git) and defect tracking tools (e.g.,Jira, Azure DevOps). Experience with JIRA and Agile development methodology; comfortable with sharedsprint delivery. Strong critical thinking; challenges ambiguous requirements and drives clarity inacceptance criteria. Excellent communication skills; able to partner with Product Owners and Engineersto define testable stories.PREFERRED / DOMAIN EXPERIENCE Experience with liveevent data, broadcast schedules, media assets, or fanengagement platforms. Experience with bigdata validation (Snowflake/BigQuery/Redshift) and performancetesting of queries at scale. Familiarity with API contract testing, data lineage tools, and dataset comparisonframeworks. ISTQB or equivalent certification is a plus. Experience with cloud-based data platforms (AWS, Azure, GCP) is a plus.