Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 6 and day 54.
From 11,069 similar postings that came down. Coming down is not always a hire.
Bangalore, India
Actively hiring, first seen by us todayConfigure and maintain data ingestion pipelines
Develop and support Python-based ingestion components
Troubleshoot data flow, connectivity, and integration issues
Monitor pipeline execution and resolve operational issues
Support Dev/Test/Prod deployment processes
Configure and maintain data ingestion pipelines
Develop and support Python-based ingestion components
Troubleshoot data flow, connectivity, and integration issues
Monitor pipeline execution and resolve operational issues
Support Dev/Test/Prod deployment processes
2+ years of experience with Python development
Practical (hands on) experience with Apache NiFi
Practical (hands on) experience with Apache Airflow
Experience integrating data from relational databases
SQL knowledge and understanding of data integration concepts
The role focuses on onboarding and maintaining data integrations from multiple source systems, troubleshooting operational issues, and supporting release and governance processesKey ResponsibilitiesData Integration & Pipeline DevelopmentConfigure and maintain data ingestion pipelinesDevelop and support Python-based ingestion componentsIntegrate data:Relational databases (Oracle, PostgreSQL, MS SQL, MySQL, DB2, etc)Apache KafkaAWS S3, flat filesElasticsearch, Hive, Impala, hBaseTroubleshoot data flow, connectivity, and integration issuesIngestion to Databricks, Databricks loaderPlatform OperationsSupport incident, problem, and change management activitiesMaintain Python libraries and dependenciesCreate ETL/ELT pipelines focused on source ingestionMonitor pipeline execution and resolve operational issuesAssist with platform upgrades, patching, and maintenance activitiesRelease & GovernanceSupport Dev/Test/Prod deployment processesReview configuration and template changesEnsure compliance with governance, security, and operational standardsMaintain technical and operational documentationCollaborationWork closely with architects, engineering teams, and platform ownersCollaborate with security, audit, and infrastructure teamsParticipate in release planning and communication activitiesNice-to-Have SkillsKnowledge of ETL Python frameworks (e.g. Meltano)Experience with other ETL/ELT toolsExperience with Git, CI/CD pipelines, and DevOps practicesKnowledge of Linux environmentsExperience with Jira and ITSM toolingExposure to cloud-based data platformsCandidate ProfileMedior-level engineer capable of working independently on standard tasksAble to create and resolve customers' requirementsAble to analyse integration issues and identify root causesComfortable working in an enterprise environment with governance and security requirementsGood communication skills and ability to collaborate with multiple stakeholdersProfile requiredMust-Have Skills2+ years of experience with Python developmentPractical (hands on) experience with Apache NiFiPractical (hands on) experience with Apache AirflowExperience integrating data from relational databasesETL/ELT performance tuning, optimalizationsBasic experience with Apache KafkaBasic experience with ElasticsearchSQL knowledge and understanding of data integration conceptsExperience troubleshooting technical and connectivity issuesUnderstanding of incident and release management processesAbility to create and maintain technical documentationStrong analytical and problem-solving skillsWhy join us“We are committed to creating a diverse environment and are proud to be an equal opportunity employer.
ResponsibilitiesData Ingestion SpecialistRole SummaryWe are looking for a Medior Data Ingestion Specialist to support development, operation, and maintenance of data ingestion platform orchestrated by Apache Airflow.
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 0
Early. Similar jobs usually come down between day 6 and day 54.
From 11,069 similar postings that came down. Coming down is not always a hire.
34 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordCheck the employer’s posting for the current role and application details.
Already applied? Track this application
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Bangalore, India
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.
We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting