Why this grade
This listing scored 54/100, which is a D. It lost the most ground on pay transparency.
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 15 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Data Science Senior Full Time
Role Overview
We are seeking an experienced Senior Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data solutions. The role covers data ingestion, processing, storage, orchestration, and delivery to Analytics and BI teams within an AWS-based data ecosystem.
Responsibilities
- Design and maintain batch and real-time data pipelines.
- Integrate data from APIs, databases, files, and external sources using Apache Kafka and AWS services.
- Develop and orchestrate workflows with Apache Airflow, including monitoring, retry mechanisms, and alerting.
- Build and optimize distributed data processing solutions using Apache Spark, PySpark, Spark SQL, and AWS EMR.
- Manage Data Lake and Data Warehouse environments using Amazon S3 and Amazon Redshift.
- Design analytical data models, including Star and Snowflake schemas.
- Prepare and optimize datasets for Analytics and Business Intelligence use cases, particularly for Qlik.
- Develop high-quality solutions using Python and SQL, following best practices for Git, code reviews, testing, and documentation.
- Ensure data quality, security, governance, and compliance, including AWS IAM, encryption, and access control.
- Monitor production data pipelines and proactively address operational and performance issues.
Mandatory Requirements
- Proven experience as a Senior Data Engineer or in a similar role.
- Advanced proficiency in Python and SQL.
- Hands-on experience with:
- Apache Spark / PySpark
- Apache Kafka
- Apache Airflow
- Strong AWS experience, particularly with:
- Amazon S3
- Amazon Redshift
- AWS EMR
- Experience with Data Lakes, Data Warehouses, ETL/ELT processes, and data modeling.
- Strong understanding of batch and streaming architectures.
- Experience with performance optimization, Git, testing practices, and production support.
Technical Stack
- Python
- SQL
- Apache Spark / PySpark
- Apache Kafka
- Apache Airflow
- AWS EMR
- Amazon S3
- Amazon Redshift
- Git
- Qlik
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 04 Oct 2026 Himalayas first sighting
Seen on 1 board over 0 days.