About this role
Sigmoid is a data engineering and analytics services company that works with large data rich organisations across consumer goods, retail, financial services, life sciences and manufacturing, so its engineers see production data platforms at companies that would otherwise be hard to get near. This role is classic data engineering with a modern edge: designing and maintaining ETL workflows in Informatica, then building and optimising pipelines on Databricks, Azure Data Factory and Azure Data Lake Storage. You also write SQL, Python and PySpark transformations, tune slow jobs and queries, and support deployment, testing and validation. Airflow and dbt are listed as good to have rather than required. At 4 to 6 years this is a well pitched mid level opening, and the combination of a legacy ETL tool with cloud data platform work describes where a great deal of Indian enterprise data work actually sits.
Who this is for
Required
- 4 to 6 years of experience. The posting states this directly as Experience Required: 4 to 6 Years.
- Strong hands on experience with Informatica and SQL programming.
- Experience with cloud based data platforms and modern data engineering tools.
- Good analytical and problem solving skills.
- Strong communication and collaboration abilities.
Key skills named in the posting
- Informatica
- SQL
- Python
- PySpark SQL
- Databricks
- Azure Data Factory (ADF)
- Azure Data Lake Storage (ADLS)
- Airflow (listed as good to have)
- dbt (listed as good to have)
The day to day
- Designing, developing and maintaining ETL workflows using Informatica.
- Building and optimising data pipelines using Databricks, ADF and ADLS.
- Working on SQL, Python and PySpark based data transformation processes.
- Collaborating with cross functional teams to gather and understand data requirements.
- Troubleshooting, performance tuning and optimisation of ETL jobs and SQL queries.
- Supporting deployment, testing and validation for data solutions.
- Ensuring data accuracy, integrity and timely delivery.
Location and working style
Bengaluru, Karnataka. No remote arrangement is stated.
A note on the application
The posting includes a consent line stating that by submitting your application you agree to be contacted by the talent acquisition team via phone, email, SMS, WhatsApp or other channels. Worth knowing before you apply if you are careful about which channels recruiters use.
Honest fit guidance
The Informatica requirement is the deciding factor. It is an established enterprise ETL tool, and if you have worked with it the rest of this list is a natural extension. If you have only done cloud native data engineering with Spark and dbt and have never touched Informatica, the requirement is stated as strong hands on experience, so treat it as a real gate.
This is a services company, which shapes the work: you build for clients rather than for one internal product, projects change, and exposure is broad but sometimes shallower than product engineering. Many engineers use exactly this to build range early, then move into product roles.
Sigmoid has three roles in this edition at different levels: this one at 4 to 6 years, a DataOps Lead at 8 to 12 and a BI Solution Architect with no published years.
- 4 to 6 years of experience. The posting states this directly as Experience Required: 4 to 6 Years.
- Strong hands on experience with Informatica and SQL programming.
- Experience with cloud based data platforms and modern data engineering tools.
- Good analytical and problem solving skills.
- Strong communication and collaboration abilities.
Key skills named in the posting
- Informatica
- SQL
- Python
- PySpark SQL
- Databricks
- Azure Data Factory (ADF)
- Azure Data Lake Storage (ADLS)
- Airflow (listed as good to have)
- dbt (listed as good to have)
The day to day
- Designing, developing and maintaining ETL workflows using Informatica.
- Building and optimising data pipelines using Databricks, ADF and ADLS.
- Working on SQL, Python and PySpark based data transformation processes.
- Collaborating with cross functional teams to gather and understand data requirements.
- Troubleshooting, performance tuning and optimisation of ETL jobs and SQL queries.
- Supporting deployment, testing and validation for data solutions.
- Ensuring data accuracy, integrity and timely delivery.
Location and working style
Bengaluru, Karnataka. No remote arrangement is stated.
A note on the application
The posting includes a consent line stating that by submitting your application you agree to be contacted by the talent acquisition team via phone, email, SMS, WhatsApp or other channels. Worth knowing before you apply if you are careful about which channels recruiters use.
Honest fit guidance
The Informatica requirement is the deciding factor. It is an established enterprise ETL tool, and if you have worked with it the rest of this list is a natural extension. If you have only done cloud native data engineering with Spark and dbt and have never touched Informatica, the requirement is stated as strong hands on experience, so treat it as a real gate.
This is a services company, which shapes the work: you build for clients rather than for one internal product, projects change, and exposure is broad but sometimes shallower than product engineering. Many engineers use exactly this to build range early, then move into product roles.
Sigmoid has three roles in this edition at different levels: this one at 4 to 6 years, a DataOps Lead at 8 to 12 and a BI Solution Architect with no published years.
Apply on company site
Opens job-boards.greenhouse.io, the employer's own application page. Applying is always free.