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Lead Software Engineer - Data Ingestion - IT (Information Technology) - Bangalore, India

Pay
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Work setting
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Employment
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What you’ll work on

Full posting
  • 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

From the employer’s posting
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

What you’ll bring

All qualifications

Core experience

  • 2+ years of Python development experience
  • Hands-on experience with Apache NiFi
  • Hands-on experience with Apache Airflow
  • Experience integrating data from relational databases
  • SQL knowledge and data integration concepts
Qualification wording
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

Tools in this posting

  • Python
  • SQL
  • Databricks
  • Hive
  • Meltano
  • MySQL
  • Oracle
  • PostgreSQL
  • S3
  • Airflow
Source — Tool mentions in context
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.

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

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First seen by us
Nov 5, 2026today
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Societe Generale is hiring

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

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.

About the role

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.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

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.

Job description

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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. 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. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status”.Business insightAt Société Générale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating, and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us!Still hesitating?You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing their skills with charities. There are many ways to get involved.We are committed to support accelerating our Group’s ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection.
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Bangalore, India

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