Design, build, and optimize end-to-end ETL/ELT pipelines using Python and PySpark for large structured and unstructured datasets. Ensure data quality through validation and reconciliation, troubleshoot performance issues, implement CI/CD and code review practices, and collaborate with IT and business stakeholders to translate requirements into scalable data solutions.
Responsibilities: • Development and Maintain Data Pipelines: Design, implement, and optimize end-to-end ETL/ELT pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data. • Utilize Python and Pyspark: Write efficient, scalable and maintainable code in Python and leverage Pyspark for large-scale data processing in distributed computing environments. Also be able to review existing code and identify areas of improvement. • Ensure Data Quality and Integrity: Implement data validation, cleansing, transformation and reconciliation processes to ensure data accuracy and consistency throughout the data lifecycle. • Collaborate with Stakeholders: Work closely with IT teams and business stakeholders to gather data requirements and translate them to technical solutions. • Troubleshoot and Optimize: Monitor job performance, troubleshoot complex data issues and fine-tune for performance and scalability. • Adhere to Best Practices: Participate in code reviews, establish coding standards, and implement CI/CD pipelines for automated testing and deployment. Skills: • Strong hands-on coding proficiency in Python, Pyspark and SQL (Microsoft SQL Server preferred) • Experience with big data frameworks (Hadoop, Spark). • Experience with cloud platforms ( AWS, Azure or GCP) • Experience with Code versioning tools ( Bitbucket, Github ) • Experience with CI/CD and setting up pipelines. • Solid understanding of database design principles, data modelling, schemas and data warehousing solutions. • Excellent problem-solving and analytical skills to troubleshoot complex data issues independently.
Hexaware Technologies Boston, Massachusetts, USA Office
Boston, United States
Similar Jobs
Insurance
Leads engineering support and architecture for enterprise-scale healthcare data platforms on Azure. Designs Databricks, Synapse, Data Factory, and Data Lake solutions; builds batch and real-time pipelines, analytical data models, BI solutions, and automated data quality frameworks. Implements machine learning and AI-assisted development, integrates low-code systems, ensures HIPAA compliance, and translates business needs into technical solutions. Mentors engineers, resolves technical issues, supports Agile delivery, and partners with healthcare business leaders on Medicare and Medicaid analytics initiatives.
Top Skills:
Arm TemplatesAzure Data FactoryAzure Data Lake StorageAzure DatabricksAzure DevopsAzure Event HubsAzure Machine LearningAzure SynapseGithub CopilotHipaaKafkaAzureMicrosoft O365PegaPower BIPysparkPythonSalesforceScalaSitecoreSpark StreamingSQLTableauTerraform
Information Technology • Consulting
Lead development of enterprise data and analytics systems using Snowflake and Python. Build and optimize data pipelines on AWS (Lambda, Step Functions, ECS), write advanced SQL, and apply domain knowledge of asset management and financial markets.
Top Skills:
Amazon EcsAws LambdaAws Step FunctionsPythonSnowflakeSQL
Information Technology • Consulting
Lead data engineer responsible for designing, building, and operating production data pipelines using Python, Airflow, Snowflake, DBT, and AWS. Automate ETL, implement CI/CD, testing and DBT validations, troubleshoot pipelines, and work client-facing to deliver reliable data solutions.
Top Skills:
Ai IdeApache AirflowAws EcsAws IamAws S3Ci/CdCsvDbtGitJinjaJSONPythonSnowflakeSQLXML
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
