CrawlJobs Logo

Senior AWS Data Engineer

vidushiinfotech.com Logo

Vidushi Infotech SSP Pvt. Ltd.

Location Icon

Location:
India , Pune

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

We are seeking a highly skilled Senior Data Engineer with 5+ years of experience to join our team. This role is focused on designing and building robust data assets through high-performance data pipelines. You will be a key player in modernizing our data infrastructure, transitioning legacy codebases into clean, scalable architectures, and ensuring the highest standards of code quality through Test-Driven Development (TDD).

Job Responsibility:

  • Design, develop, and maintain complex ETL/ELT pipelines to build high-value data assets
  • Lead the code refactorization of legacy codebases, improving readability, maintainability, and performance
  • Perform deep code optimization using Spark SQL and PySpark to handle large-scale datasets efficiently
  • Implement a Test-Driven Development (TDD) approach, writing comprehensive unit tests to ensure functionality and catch bugs early in the lifecycle
  • Isolate and resolve difficult bugs, including those related to performance bottlenecks, concurrency issues, and complex logic flaws
  • Design and deploy solutions utilizing the full AWS stack, explaining the trade-offs and benefits of specific services for various use cases

Requirements:

  • 5+ years of experience in hands-on programming with Python and PySpark
  • Expertise in Boto3 and various Python frameworks and libraries, adhering strictly to Python best practices (PEP 8)
  • Strong experience in Spark SQL and PySpark optimization techniques (e.g., partitioning, caching, broadcast joins)
  • Deep architectural knowledge of AWS services, including: S3, EC2, Lambda, Redshift, CloudFormation
  • Advanced understanding of Git (branching strategies, PR reviews)
  • Experience with JFrog Artifactory for dependency management and artifact storage
  • Proficiency in CI/CD pipelines and automated testing frameworks
  • Analytical Mindset: Ability to debug complex, non-obvious issues in distributed systems
  • Clean Coder: Passion for writing 'clean code' and mentoring junior engineers on maintainability
  • Architectural Thinking: Ability to explain the 'why' behind choosing specific AWS components over others

Additional Information:

Job Posted:
May 14, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Senior AWS Data Engineer

Senior Data Engineer

Atlassian is looking for a Senior Data Engineer to join our Go-To Market Data En...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A BS in Computer Science or equivalent experience
  • At least 5+ years professional experience as a Sr. Software Engineer or Sr. Data Engineer
  • Strong programming skills (Python, Java or Scala preferred)
  • Experience writing SQL, structuring data, and data storage practices
  • Experience with data modeling
  • Knowledge of data warehousing concepts
  • Experience building data pipelines, platforms, micro services, and REST APIs
  • Experience with Spark, Hive, Airflow and other streaming technologies to process incredible volumes of streaming data
  • Experience in modern software development practices (Agile, TDD, CICD)
  • Strong focus on data quality and experience with internal/external tools/frameworks to automatically detect data issues, anomalies
Job Responsibility
Job Responsibility
  • Help our stakeholder teams ingest data faster into our data lake
  • Make our data pipelines more efficient
  • Build micro-services, architect, design, and enable self-serve capabilities at scale
  • Work on an AWS-based data lake backed by open source projects such as Spark and Airflow
  • Identify ways to make our platform better and improve user experience
  • Apply strong technical experience building highly reliable services on managing and orchestrating a multi-petabyte scale data lake
What we offer
What we offer
  • Health coverage
  • Paid volunteer days
  • Wellness resources
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

Atlassian is looking for a Senior Data Engineer to join our Go-To Market Data En...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A BS in Computer Science or equivalent experience
  • At least 5+ years professional experience as a Sr. Software Engineer or Sr. Data Engineer
  • Strong programming skills (Python, Java or Scala preferred)
  • Experience writing SQL, structuring data, and data storage practices
  • Experience with data modeling
  • Knowledge of data warehousing concepts
  • Experience building data pipelines, platforms, micro services, and REST APIs
  • Experience with Spark, Hive, Airflow and other streaming technologies to process incredible volumes of streaming data
  • Experience in modern software development practices (Agile, TDD, CICD)
  • Strong focus on data quality and experience with internal/external tools/frameworks to automatically detect data issues, anomalies
Job Responsibility
Job Responsibility
  • Help our stakeholder teams ingest data faster into our data lake
  • Make our data pipelines more efficient
  • Build micro-services
  • Architect, design, and enable self-serve capabilities at scale
  • Apply your strong technical experience building highly reliable services
  • Manage and orchestrate a multi-petabyte scale data lake
  • Transform vague requirements into solid solutions
  • Solve challenging problems creatively
What we offer
What we offer
  • Health coverage
  • Paid volunteer days
  • Wellness resources
  • Fulltime
Read More
Arrow Right

Senior Data Engineering Manager

Data is a big deal at Atlassian. We ingest billions of events each month into ou...
Location
Location
United States , San Francisco
Salary
Salary:
168700.00 - 271100.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • stellar people management skills and experience in leading an agile software team
  • thrive when developing phenomenal people, not just great products
  • worked closely Data Science, analytics and platform teams
  • expertise in building and maintaining high-quality components and services
  • able to drive technical excellence, pushing for innovation and quality
  • at least 10 years experience in a software development role as an individual contributor
  • 4+ years of people management experience
  • deep understanding of data challenges at scale challenges and the eco-system
  • experience with solution building and architecting with public cloud offerings such as Amazon Web Services, DynamoDB, ElasticSearch, S3, Databricks, Spark/Spark-Streaming, GraphDatabases
  • experience with Enterprise Data architectural standard methodologies
Job Responsibility
Job Responsibility
  • build and lead a team of data engineers through hiring, coaching, mentoring, and hands-on career development
  • provide deep technical guidance in a number of aspects of data engineering in a scalable ecosystem
  • champion cultural and process improvements through engineering excellence, quality and efficiency
  • work with close counterparts in other departments as part of a multi-functional team, and build this culture in your team
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

Atlassian is looking for a Senior Data Engineer to join our Data Engineering Tea...
Location
Location
United States , San Francisco
Salary
Salary:
135600.00 - 217800.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BS in Computer Science or equivalent experience with 5+ years as Data Engineer or similar role
  • Programming skills in Python & Java (good to have)
  • Design data models for storage and retrieval to meet product and requirements
  • Build scalable data pipelines using Spark, Airflow, AWS data services (Redshift, Athena, EMR), Apache projects (Spark, Flink, Hive, and Kafka)
  • Familiar with modern software development practices (Agile, TDD, CICD) applied to data engineering
  • Enhance data quality through internal tools/frameworks detecting DQ issues
  • Working knowledge of relational databases and SQL query authoring
Job Responsibility
Job Responsibility
  • Collaborating with partners, you will design data models, acquisition processes, and applications to address needs
  • Lead business growth and enhance product experiences
  • Collaborate with Technology Teams, Global Analytical Teams, and Data Scientists across programs
  • Extracting/cleaning data, understanding generating systems
  • Improve data quality by adding sources, coding rules, and producing metrics as requirements evolve
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

Collaborate with engineering and TPM leaders, developers, and process engineers ...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BS in Computer Science or equivalent experience with 8+ years as a Senior Data Engineer or similar role
  • 10+ Years of progressive experience in building scalable datasets and reliable data engineering practices.
  • Proficiency in Python, SQL, and data platforms like DataBricks
  • Proficiency in relational databases and query authoring (SQL).
  • Demonstrable expertise designing data models for optimal storage and retrieval to meet product and business requirements.
  • Experience building and scaling experimentation practices, statistical methods, and tools in a large scale organization
  • Excellence in building scalable data pipelines using Spark (SparkSQL) with Airflow scheduler/executor framework or similar scheduling tools.
  • Expert experience working with AWS data services or similar Apache projects (Spark, Flink, Hive, and Kafka).
  • Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team.
  • Well versed in modern software development practices (Agile, TDD, CICD)
Job Responsibility
Job Responsibility
  • Collaborate with engineering and TPM leaders, developers, and process engineers to create data solutions that extract actionable insights from incident and post-incident management data, supporting objectives of incident prevention and reducing detection, mitigation, and communication times.
  • Work with diverse stakeholders to understand their needs and design data models, acquisition processes, and applications that meet those requirements.
  • Add new sources, implement business rules, and generate metrics to empower product analysts and data scientists.
  • Serve as the data domain expert, mastering the details of our incident management infrastructure.
  • Take full ownership of problems from ambiguous requirements through rapid iterations.
  • Enhance data quality by leveraging and refining internal tools and frameworks to automatically detect issues.
  • Cultivate strong relationships between teams that produce data and those that build insights.
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

We are looking for a Senior Data Engineer (SDE 3) to build scalable, high-perfor...
Location
Location
India , Mumbai
Salary
Salary:
Not provided
https://cogoport.com/ Logo
Cogoport
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
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
Read More
Arrow Right

Senior Data Engineer

As a Senior Data Engineer in the Finance-DE team, you will have the opportunity ...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A BS in Computer Science or equivalent experience
  • At least 5+ years professional experience as a Sr. Software Engineer or Sr. Data Engineer
  • Strong programming skills (Python, Java or Scala preferred)
  • Experience writing SQL, structuring data, and data storage practices
  • Experience with data modeling
  • Knowledge of data warehousing concepts
  • Experience building data pipelines, platforms, micro services, and REST APIs
  • Experience with Spark, Hive, Airflow and other streaming technologies to process incredible volumes of streaming data
  • Experience in modern software development practices (Agile, TDD, CICD)
  • Strong focus on data quality and experience with internal/external tools/frameworks to automatically detect data issues, anomalies
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
  • Fulltime
Read More
Arrow Right

Senior Data Engineering Manager

Data is a big deal at Atlassian. We ingest billions events each month into our a...
Location
Location
United States , San Francisco
Salary
Salary:
168700.00 - 271100.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • stellar people management skills and experience in leading an agile software team
  • thrive when developing phenomenal people, not just great products
  • worked closely Data Science, analytics and platform teams
  • expertise in building and maintaining high-quality components and services
  • able to drive technical excellence, pushing for innovation and quality
  • at least 10 years experience in a software development role as an individual contributor
  • 4+ years of people management experience
  • deep understanding of data challenges at scale challenges and the eco-system
  • experience with solution building and architecting with public cloud offerings such as Amazon Web Services, DynamoDB, ElasticSearch, S3, Databricks, Spark/Spark-Streaming, GraphDatabases
  • experience with Enterprise Data architectural standard methodologies
Job Responsibility
Job Responsibility
  • build and lead a team of data engineers through hiring, coaching, mentoring, and hands-on career development
  • provide deep technical guidance in a number of aspects of data engineering in a scalable ecosystem
  • champion cultural and process improvements through engineering excellence, quality and efficiency
  • work with close counterparts in other departments as part of a multi-functional team, and build this culture in your team
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
  • Fulltime
Read More
Arrow Right