Senior Data Engineer

We are looking for a Senior Data Engineer (SDE 3) to build scalable, high-perfor...

Location

India , Mumbai

Salary:

Not provided

Cogoport

Expiration Date

Until further notice

Requirements

6+ years of experience in data engineering, working with large-scale distributed systems
Strong proficiency in Python, Java, or Scala for data processing
Expertise in SQL and NoSQL databases (PostgreSQL, Cassandra, Snowflake, Apache Hive, Redshift)
Experience with big data processing frameworks (Apache Spark, Flink, Hadoop)
Hands-on experience with real-time data streaming (Kafka, Kinesis, Pulsar) for logistics use cases
Deep knowledge of AWS/GCP/Azure cloud data services like S3, Glue, EMR, Databricks, or equivalent
Familiarity with Airflow, Prefect, or Dagster for workflow orchestration
Strong understanding of logistics and supply chain data structures, including freight pricing models, carrier APIs, and shipment tracking systems

Job Responsibility

Design and develop real-time and batch ETL/ELT pipelines for structured and unstructured logistics data (freight rates, shipping schedules, tracking events, etc.)
Optimize data ingestion, transformation, and storage for high availability and cost efficiency
Ensure seamless integration of data from global trade platforms, carrier APIs, and operational databases
Architect scalable, cloud-native data platforms using AWS (S3, Glue, EMR, Redshift), GCP (BigQuery, Dataflow), or Azure
Build and manage data lakes, warehouses, and real-time processing frameworks to support analytics, machine learning, and reporting needs
Optimize distributed databases (Snowflake, Redshift, BigQuery, Apache Hive) for logistics analytics
Develop streaming data solutions using Apache Kafka, Pulsar, or Kinesis to power real-time shipment tracking, anomaly detection, and dynamic pricing
Enable AI-driven freight rate predictions, demand forecasting, and shipment delay analytics
Improve customer experience by providing real-time visibility into supply chain disruptions and delivery timeline
Ensure high availability, fault tolerance, and data security compliance (GDPR, CCPA) across the platform

What we offer

Work with some of the brightest minds in the industry
Entrepreneurial culture fostering innovation, impact, and career growth
Opportunity to work on real-world logistics challenges
Collaborate with cross-functional teams across data science, engineering, and product
Be part of a fast-growing company scaling next-gen logistics platforms using advanced data engineering and AI

Fulltime

Senior Data Engineer

We are looking for a Senior Data Engineer with a collaborative, “can-do” attitud...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Engineering, Computer Science or related discipline, Master’s Degree preferred
5+ years of ETL design, development, and performance tuning using ETL tools such as SSIS/ADF in a multi-dimensional Data Warehousing environment
5+ years of experience with setting up and operating data pipelines using Python or SQL
5+ years of advanced SQL Programming: PL/SQL, T-SQL
5+ years of experience working with Snowflake, including Snowflake SQL, data modeling, and performance optimization
Strong hands-on experience with cloud data platforms such as Azure Synapse and Snowflake for building data pipelines and analytics workloads
5+ years of strong and extensive hands-on experience in Azure, preferably data heavy / analytics applications leveraging relational and NoSQL databases, Data Warehouse and Big Data
5+ years of experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Databricks/Spark, Azure SQL DW/Synapse, and Azure functions
5+ years of experience in defining and enabling data quality standards for auditing, and monitoring
Strong analytical abilities and a strong intellectual curiosity

Job Responsibility

Collaborate with business stakeholders and other technical team members to acquire and migrate data sources that are most relevant to business needs and goals
Demonstrate deep technical and domain knowledge of relational and non-relation databases, Data Warehouses, Data lakes among other structured and unstructured storage options
Determine solutions that are best suited to develop a pipeline for a particular data source
Develop data flow pipelines to extract, transform, and load data from various data sources in various forms, including custom ETL pipelines that enable model and product development
Efficient in ETL/ELT development using Azure cloud services and Snowflake, Testing and operation/support process (RCA of production issues, Code/Data Fix Strategy, Monitoring and maintenance)
Work with modern data platforms including Snowflake to develop, test, and operationalize data pipelines for scalable analytics delivery
Provide clear documentation for delivered solutions and processes, integrating documentation with the appropriate corporate stakeholders
Identify and implement internal process improvements for data management (automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability)
Stay current with and adopt new tools and applications to ensure high quality and efficient solutions
Build cross-platform data strategy to aggregate multiple sources and process development datasets

Fulltime

Senior Data Engineer

Senior Data Engineer role driving Circle K's cloud-first strategy to unlock the ...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Engineering, Computer Science or related discipline
Master's Degree preferred
5+ years of ETL design, development, and performance tuning using ETL tools such as SSIS/ADF in a multi-dimensional Data Warehousing environment
5+ years of experience with setting up and operating data pipelines using Python or SQL
5+ years of advanced SQL Programming: PL/SQL, T-SQL
5+ years of experience working with Snowflake, including Snowflake SQL, data modeling, and performance optimization
Strong hands-on experience with cloud data platforms such as Azure Synapse and Snowflake for building data pipelines and analytics workloads
5+ years of strong and extensive hands-on experience in Azure, preferably data heavy / analytics applications leveraging relational and NoSQL databases, Data Warehouse and Big Data
5+ years of experience with Azure Data Factory, Azure Synapse Analytics, Azure Analysis Services, Azure Databricks, Blob Storage, Databricks/Spark, Azure SQL DW/Synapse, and Azure functions
5+ years of experience in defining and enabling data quality standards for auditing, and monitoring

Job Responsibility

Collaborate with business stakeholders and other technical team members to acquire and migrate data sources
Determine solutions that are best suited to develop a pipeline for a particular data source
Develop data flow pipelines to extract, transform, and load data from various data sources
Efficient in ETL/ELT development using Azure cloud services and Snowflake
Work with modern data platforms including Snowflake to develop, test, and operationalize data pipelines
Provide clear documentation for delivered solutions and processes
Identify and implement internal process improvements for data management
Stay current with and adopt new tools and applications
Build cross-platform data strategy to aggregate multiple sources
Proactive in stakeholder communication, mentor/guide junior resources

Fulltime

Big Data Platform Senior Engineer

Lead Java Data Engineer to guide and mentor a talented team of engineers in buil...

Location

Bahrain , Seef, Manama

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Significant hands-on experience developing high-performance Java applications (Java 11+ preferred) with strong foundation in core Java concepts, OOP, and OOAD
Proven experience building and maintaining data pipelines using technologies like Kafka, Apache Spark, or Apache Flink
Familiarity with event-driven architectures and experience in developing real-time, low-latency applications
Deep understanding of distributed systems concepts and experience with MPP platforms such as Trino (Presto) or Snowflake
Experience deploying and managing applications on container orchestration platforms like Kubernetes, OpenShift, or ECS
Demonstrated ability to lead and mentor engineering teams, communicate complex technical concepts effectively, and collaborate across diverse teams
Excellent problem-solving skills and data-driven approach to decision-making

Job Responsibility

Provide technical leadership and mentorship to a team of data engineers
Lead the design and development of highly scalable, low-latency, fault-tolerant data pipelines and platform components
Stay abreast of emerging open-source data technologies and evaluate their suitability for integration
Continuously identify and implement performance optimizations across the data platform
Partner closely with stakeholders across engineering, data science, and business teams to understand requirements
Drive the timely and high-quality delivery of data platform projects

Fulltime

Senior Data Engineer

Adswerve is looking for a Senior Data Engineer to join our Adobe Services team. ...

Location

United States

Salary:

130000.00 - 155000.00 USD / Year

Adswerve, Inc.

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience)
5+ years of experience in a data engineering, analytics, or marketing technology role
Hands-on expertise in Adobe Experience Platform (AEP), Real-Time CDP, Journey Optimizer, or similar tools is a big plus
Strong proficiency in SQL and hands-on experience with data transformation and modeling
Understanding of ETL/ELT workflows (e.g., dbt, Fivetran, Airflow, etc.) and cloud data platforms (e.g., GCP, Snowflake, AWS, Azure)
Experience with ingress/egress patterns and interacting with API’s to move data
Experience with Python, or JavaScript in a data or scripting context
Experience with customer data platforms (CDPs), event-based tracking, or customer identity management
Understanding of Adobe Experience Cloud integrations (e.g., Adobe Analytics, Target, Campaign) is a plus
Strong communication skills with the ability to lead technical conversations and present to both technical and non-technical audiences

Job Responsibility

Lead the end-to-end architecture of data ingestion and transformation in Adobe Experience Platform (AEP) using Adobe Data Collection (Tags), Experience Data Model (XDM), and source connectors
Design and optimize data models, identity graphs, and segmentation strategies within Real-Time CDP to enable personalized customer experiences
Implement schema mapping, identity resolution, and data governance strategies
Collaborate with Data Architects to build scalable, reliable data pipelines across multiple systems
Conduct data quality assessments and support QA for new source integrations and activations
Write and maintain internal documentation and knowledge bases on AEP best practices and data workflows
Simplify complex technical concepts and educate team members and clients in a clear, approachable way
Contribute to internal knowledge sharing and mentor junior engineers in best practices around data modeling, pipeline development, and Adobe platform capabilities
Stay current on the latest Adobe Experience Platform features and data engineering trends to inform client strategies

What we offer

Medical, dental and vision available for employees
Paid time off including vacation, sick leave & company holidays
Paid volunteer time
Flexible working hours
Summer Fridays
“Work From Home Light” days between Christmas and New Year’s Day
401(k) Plan with 5% company match and no vesting period
Employer Paid Parental Leave
Health-care Spending Accounts
Dependent-care Spending Accounts

Fulltime

Senior Data Engineer

We're seeking an experienced Senior Data Engineer to help shape the future of he...

Location

Germany , Berlin

Salary:

Not provided

Audibene GmbH

Expiration Date

Until further notice

Requirements

5+ years of hands on experience with complex ETL processes, data modeling, and large scale data systems
Production experience with modern cloud data warehouses (Snowflake, BigQuery, Redshift) on AWS, GCP, or Azure
Proficiency in building and optimizing data transformations and pipelines in python
Experience with columnar storage, MPP databases, and distributed data processing architectures
Ability to translate complex technical concepts for diverse audiences, from engineers to business stakeholders
Experience with semantic layers, data catalogs, or metadata management systems
Familiarity with modern analytical databases like Snowflake, BigQuery, ClickHouse, DuckDB, or similar systems
Experience with streaming technologies like Kafka, Pulsar, Redpanda, or Kinesis

Job Responsibility

Design and build robust, high performance data pipelines using our modern stack (Airflow, Snowflake, Pulsar, Kubernetes) that feed directly into our semantic layer and data catalog
Create data products optimized for consumption by AI agents and LLMs where data quality, context, and semantic richness are crucial
Structure and transform data to be inherently machine readable, with rich metadata and clear lineage that powers intelligent applications
Take responsibility from raw data ingestion through to semantic modeling, ensuring data is not just accurate but contextually rich and agent ready
Champion best practices in building LLM consumable data products, optimize for both human and machine consumers, and help evolve our dbt transformation layer
Built data products for AI/LLM consumption, not just analytics dashboards

What we offer

Work 4 days a week from our office (Berlin/Mainz) with a passionate team, and 1 day a week from home
Regularly join on- and offline team events, company off-sites, and the annual audibene Wandertag
Cost of the Deutschland-Ticket covered
Access to over 50,000 gyms and wellness facilities through Urban Sports Club
Support for personal development with a wide range of programs, trainings, and coaching opportunities
Dog-friendly office

Fulltime

Senior Data Engineer

At Blue Margin, we are on a mission to build the go-to data platform for PE-back...

Location

United States , Fort Collins

Salary:

110000.00 - 140000.00 USD / Year

Blue Margin

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
5+ years of professional experience in data engineering, with emphasis on Python & PySpark/Apache Spark
Proven ability to manage large datasets and optimize for speed, scalability, and reliability
Strong SQL skills and understanding of relational and distributed data systems
Experience with Azure Data Factory, Synapse Pipelines, Fivetran, Delta Lake, Microsoft Fabric, or Snowflake
Knowledge of data modeling, orchestration, and Delta/Parquet file management best practices
Familiarity with CI/CD, version control, and DevOps practices for data pipelines
Experience leveraging AI-assisted tools to accelerate engineering workflows
Strong communication skills
ability to convey complex technical details to both engineers and business stakeholders

Job Responsibility

Architect, design, and optimize large-scale data pipelines using tools like PySpark, SparkSQL, Delta Lake, and cloud-native tools
Drive efficiency in incremental/delta data loading, partitioning, and performance tuning
Lead implementations across Azure Synapse, Microsoft Fabric, and/or Snowflake environments
Collaborate with stakeholders and analysts to translate business needs into scalable data solutions
Evaluate and incorporate AI/automation to improve development speed, testing, and data quality
Oversee and mentor junior data engineers, establishing coding standards and best practices
Ensure high standards for data quality, security, and governance
Participate in solution design for client engagements, balancing technical depth with practical outcomes

What we offer

Competitive pay
strong benefits
flexible hybrid work setup

Fulltime

Senior Data Engineer

As a Senior Data Engineer at Corporate Tools, you will work closely with our Sof...

Location

United States

Salary:

150000.00 USD / Year

Corporate Tools

Expiration Date

Until further notice

Requirements

Bachelor’s (BA or BS) in computer science, or related field
2+ years in a full stack development role
4+ years of experience working in a data engineer role, or related position
2+ years of experience standing up and maintaining a Redshift warehouse
4+ years of experience with Postgres, specifically with RDS
4+ years of AWS experience, specifically S3, Glue, IAM, EC2, DDB, and other related data solutions
Experience working with Redshift, DBT, Snowflake, Apache Airflow, Azure Data Warehouse, or other industry standard big data or ETL related technologies
Experience working with both analytical and transactional databases
Advanced working SQL (Preferably PostgreSQL) knowledge and experience working with relational databases
Experience with Grafana or other monitoring/charting systems

Job Responsibility

Focus on data infrastructure. Lead and build out data services/platforms from scratch (using OpenSource tech)
Creating and maintaining transparent, bulletproof ETL (extract, transform, and load) pipelines that cleans, transforms, and aggregates unorganized and messy data into databases or data sources
Consume data from roughly 40 different sources
Collaborate closely with our Data Analysts to get them the data they need
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
Improve existing data models while implementing new business capabilities and integration points
Creating proactive monitoring so we learn about data breakages or inconsistencies right away
Maintaining internal documentation of how the data is housed and transformed
Improve existing data models, and design new ones to meet the needs of data consumers across Corporate Tools
Stay current with latest cloud technologies, patterns, and methodologies

What we offer

100% employer-paid medical, dental and vision for employees
Annual review with raise option
22 days Paid Time Off accrued annually, and 4 holidays
After 3 years, PTO increases to 29 days. Employees transition to flexible time off after 5 years with the company—not accrued, not capped, take time off when you want
The 4 holidays are: New Year’s Day, Fourth of July, Thanksgiving, and Christmas Day
Paid Parental Leave
Up to 6% company matching 401(k) with no vesting period
Quarterly allowance
Use to make your remote work set up more comfortable, for continuing education classes, a plant for your desk, coffee for your coworker, a massage for yourself... really, whatever
Open concept office with friendly coworkers

Fulltime

Senior Data Engineer - Snowflake

Wissen

Location:
India , Bangalore South

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
April 20, 2026

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