CrawlJobs Logo

Level 2 Data Engineer

India, Bellandur · Job Posted May 26, 2026
Apply Position
Job Link Share

Job Responsibility

  • Develop pipelines using the standard patterns for data pipelines and workflows utilizing Kestra, dbt, Git
  • Design and Implement data storage and processing solutions employing Snowflake
  • Utilize AWS services for cloud-based platform tooling infrastructure including but not limited to: Lambda, ECS, MSK, RDS, EC2, Secrets Manager, ALB, Cloud Watch, Event Bridge
  • Utilize Terraform for AWS and Azure deployments
  • Leverage and integrate APIs for data access and manipulation
  • Write Python scripts for data common processing and automation tasks
  • Leverage Platform API's and Web Applications to enforce Platform Security
  • Development experience with SQL, Python, C#, .net, JavaScript, shell scripts & container platforms like Docker
  • Create and execute comprehensive test plans to ensure the pipelines functionality and performance
  • Develop unit tests, integration tests, and end-to-end tests for data pipelines and workflows
  • Ensure data accuracy and consistency through rigorous testing processes
  • Leverage automated testing processes to enhance efficiency
  • Monitor and manage the platform to ensure optimal performance and uptime
  • Conduct regular maintenance tasks such as updates, patches, and backups
  • Resolve any issues or incidents related to the platform in a timely manner
  • Continuously improve platform operations through automation and optimization
  • Implement security best practices throughout the pipeline development and deployment process
  • Conduct regular security reviews and vulnerability assessments
  • Ensure data encryption, access control, and other security measures are enforced
  • Use credential management platforms like Thycotic Secret Server, AWS Secrets Manager
  • Assist in troubleshooting and resolving intricate technical issues

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field with a focus on data engineering or data analytics
  • Strong proficiency in programming languages such as Python, SQL, Java, or Scala for data processing and analysis
  • Experience with data modeling, ETL processes, data warehousing, data integration, and data pipeline development
  • Proficiency in relational databases (e.g., SQL, PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra)
  • Working knowledge of cloud platforms such as Snowflake, AWS, Azure, or Google Cloud Platform for data storage and processing
  • Experience with data visualization tools (e.g., Power BI) to create meaningful insights from data
  • Understanding of data quality principles, data governance, and data validation processes
  • Ability to analyze complex data sets, identify trends, patterns, and insights to drive data-driven decision-making
  • Proficiency in troubleshooting data-related issues, identifying root causes, and implementing solutions
  • Familiarity with project management methodologies to contribute effectively to project planning and execution
  • Strong verbal and written communication skills to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders
  • Willingness to stay updated with the latest data technologies, tools, and industry trends to enhance data engineering skills
  • Prior experience in data engineering, data analytics, or related roles with a track record of successful data project delivery
  • Ability to make informed, strategic decisions that align technology with business objectives, while balancing short-term and long-term trade-offs
  • Deep understanding of customer needs and how to translate them into effective technical solutions that drive business value
  • Encourages collaboration across teams and stakeholders, breaking down silos and ensuring alignment
  • Strong analytical and problem-solving skills, capable of addressing complex technical challenges and delivering innovative solutions
  • Ability to lead innovation in technology while maintaining an eye on product-market fit and user experience
  • Adaptability in a fast-moving environment, with a mindset focused on delivering high-impact solutions quickly and iteratively

What we offer

  • Commitment to your ongoing development, including on the job opportunities and formal programs
  • Inclusive parental leave entitlements for both parents
  • Values led culture
  • Flexible work options
  • Generous annual leave, sick leave and casual leave
  • Cultural and religious leave with flexible public holiday opportunities
  • A competitive remuneration package featuring performance based incentives with uncapped Employer Provident Fund

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Level 2 Data Engineer

8 matching positions

Senior Data Engineer

We’re growing our team at ELEKS in partnership with a company, the UK’s largest ...
Location
Location
Salary
Salary:
Not provided
eleks.com Logo
ELEKS
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience in Data Engineering, SQL, ETL(data validation + data mapping + exception handling) 4+ years
  • Hands-on experience with Databricks 2+ years
  • Experience with Python
  • Experience with AWS (e.g. S3, Redshift, Athena, Glue, Lambda, etc.)
  • At least an Upper-Intermediate level of English
Job Responsibility
Job Responsibility
  • Building Databases and Pipelines: Developing databases, data lakes, and data ingestion pipelines to deliver datasets for various projects
  • End-to-End Solutions: Designing, developing, and deploying comprehensive solutions for data and data science models, ensuring usability for both data scientists and non-technical users. This includes following best engineering and data science practices
  • Scalable Solutions: Developing and maintaining scalable data and machine learning solutions throughout the data lifecycle, supporting the code and infrastructure for databases, data pipelines, metadata, and code management
  • Stakeholder Engagement: Collaborating with stakeholders across various departments, including data platforms, architecture, development, and operational teams, as well as addressing data security, privacy, and third-party coordination
What we offer
What we offer
  • Close cooperation with a customer
  • Challenging tasks
  • Competence development
  • Ability to influence project technologies
  • Team of professionals
  • Dynamic environment with low level of bureaucracy
Read More
Arrow Right

Data Engineer, Solutions Architecture

We are seeking a talented Data Engineer to design, build, and maintain our data ...
Location
Location
United States , Scottsdale
Salary
Salary:
90000.00 - 120000.00 USD / Year
clearwayenergy.com Logo
Clearway Energy
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 2-4 years of hands-on data engineering experience in production environments
  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Proficiency in Dagster or Airflow for pipeline scheduling, dependency management, and workflow automation
  • Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
  • Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
  • Strong Python and SQL skills for data processing and automation
  • 1-2+ years of experience with continuous integration and continuous deployment practices and tools (Git, GitHub Actions, GitLab CI, or similar)
  • Advanced SQL skills, database design principles, and experience with multiple database platforms
  • Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
  • Experience with APIs, streaming platforms (Kafka, Kinesis), and various data connectors and formats
Job Responsibility
Job Responsibility
  • Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
  • Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
  • Optimize query performance and resource utilization to control costs and improve processing speed
  • Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
  • Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
  • Implement workflow automation and dependency management for critical business operations
  • Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
  • Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
  • Support advanced analytics initiatives through proper data preparation and feature engineering
  • Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets
What we offer
What we offer
  • generous PTO
  • medical, dental & vision care
  • HSAs with company contributions
  • health FSAs
  • dependent daycare FSAs
  • commuter benefits
  • relocation
  • a 401(k) plan with employer match
  • a variety of life & accident insurances
  • fertility programs
  • Fulltime
Read More
Arrow Right

Data Engineering Lead

Embark on an exciting journey into the realm of software product development wit...
Location
Location
India
Salary
Salary:
Not provided
3pillarglobal.com Logo
3Pillar Global
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in Data Engineering or related field, including 2+ years in a lead role
  • Expert-level proficiency with AWS data services (e.g., Glue, EMR, Lambda, Redshift, S3, Kinesis, Step Functions)
  • Strong Python skills for data processing, automation, and pipeline development
  • Experience building batch and streaming pipelines (Spark, PySpark, Kafka, Kinesis, etc.)
  • Strong SQL expertise and experience with relational and NoSQL databases
  • Hands-on experience with IaC (Terraform, CloudFormation, CDK)
  • Familiarity with DevOps tools for CI/CD (e.g., GitHub Actions, GitLab CI, Jenkins)
  • Understanding of data modeling, data warehousing concepts, and distributed systems
  • Fulltime
Read More
Arrow Right

Data Engineer

We are looking for an experienced Data Engineer with deep expertise in Databrick...
Location
Location
Salary
Salary:
Not provided
coherentsolutions.com Logo
Coherent Solutions
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field
  • 5+ years of experience in data engineering, with at least 2 years of hands-on experience with Databricks (including Spark, Delta Lake, and MLflow)
  • Strong proficiency in Python and/or Scala for data processing
  • Deep understanding of distributed data processing, data warehousing, and ETL concepts
  • Experience with cloud data platforms (Azure Data Lake, AWS S3, or Google Cloud Storage)
  • Solid knowledge of SQL and experience with large-scale relational and NoSQL databases
  • Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for data engineering
  • Experience with data governance, security, and compliance in cloud environments
  • Excellent problem-solving, communication, and leadership skills
  • English: Upper Intermediate level or higher
Job Responsibility
Job Responsibility
  • Lead the design, development, and deployment of scalable data pipelines and ETL processes using Databricks (Spark, Delta Lake, MLflow)
  • Architect and implement data lakehouse solutions, ensuring data quality, governance, and security
  • Optimize data workflows for performance and cost efficiency on Databricks and cloud platforms (Azure, AWS, or GCP)
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights
  • Mentor and guide junior engineers, promoting best practices in data engineering and Databricks usage
  • Develop and maintain documentation, data models, and technical standards
  • Monitor, troubleshoot, and resolve issues in production data pipelines and environments
  • Stay current with emerging trends and technologies in data engineering and Databricks ecosystem
What we offer
What we offer
  • Technical and non-technical training for professional and personal growth
  • Internal conferences and meetups to learn from industry experts
  • Support and mentorship from an experienced employee to help you professional grow and development
  • Internal startup incubator
  • Health insurance
  • English courses
  • Sports activities to promote a healthy lifestyle
  • Flexible work options, including remote and hybrid opportunities
  • Referral program for bringing in new talent
  • Work anniversary program and additional vacation days
Read More
Arrow Right

Data Engineer

We are looking for a Data Engineer to join a data-intensive real estate/proptech...
Location
Location
Portugal
Salary
Salary:
Not provided
ascendixtech.com Logo
Ascendix Tech
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Snowflake – Advanced level, including User-Defined Functions (UDFs), stored procedures, and performance optimization
  • Python – Proficient in data manipulation, automation, and scripting (pandas, SQL connectors)
  • SQL – Expert level, including query optimization
  • Data Modeling – Dimensional modeling (star/snowflake schemas), normalization (3NF)
  • OLTP & OLAP – Understanding of transactional vs. analytical database design
  • Data Quality – Data cleansing, validation, consistency checks
  • Real estate data (property types, comparable analysis)
  • Multi-source data integration and harmonization
  • KPI reporting and dashboards
  • Real estate or property data systems (preferred)
Job Responsibility
Job Responsibility
  • Design scalable data models for high-volume property data (2,600-6,500 properties/month)
  • Build and maintain data integration pipelines from multiple sources
  • Implement complex entity relationships and dynamic grouping
  • Optimize for both transactional and analytical workloads
  • Develop Snowflake UDFs and stored procedures for business logic
What we offer
What we offer
  • Health insurance
  • Vacation days: 22 days per year
  • Paid Time off Benefits
  • Meal Card
  • Friendly and calm atmosphere in the company
  • Individual development plan
  • Technical leads and mentors
  • Open management and well-established processes
  • Regular performance reviews
  • Free access to the company accounts on educational platforms (Udemy, Pluralsight)
  • Fulltime
Read More
Arrow Right

Data Engineer

PulsePoint Data Engineering team plays a key role in our technology company that...
Location
Location
Salary
Salary:
Not provided
pulsepoint.com Logo
PulsePoint
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of data engineering experience
  • Strong skills in and current experience with SQL and Python
  • Strong recent Spark experience (3+ years)
  • Experience working in on-prem environments
  • Hadoop and Hive experience
  • Proficiency in Linux
  • Strong understanding of RDBMS and query optimization
  • Passion for engineering and computer science around data
  • East Coast U.S. hours 9am-6pm EST
  • Notice period needs to be less than 2 months (or 2 months max)
Job Responsibility
Job Responsibility
  • Design, build, and maintain reliable and scalable enterprise-level distributed transactional data processing systems for scaling the existing business and supporting new business initiatives
  • Optimize jobs to utilize Kafka, Hadoop, Presto, Spark, and Kubernetes resources in the most efficient way
  • Monitor and provide transparency into data quality across systems (accuracy, consistency, completeness, etc)
  • Increase accessibility and effectiveness of data (work with analysts, data scientists, and developers to build/deploy tools and datasets that fit their use cases)
  • Collaborate within a small team with diverse technology backgrounds
  • Provide mentorship and guidance to junior team members
Read More
Arrow Right

Data Engineer

We are looking for a Data Engineer to join a data-intensive real estate/proptech...
Location
Location
Salary
Salary:
Not provided
ascendixtech.com Logo
Ascendix Tech
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Snowflake – Advanced level, including User-Defined Functions (UDFs), stored procedures, and performance optimization
  • Python – Proficient in data manipulation, automation, and scripting (pandas, SQL connectors)
  • SQL – Expert level, including query optimization
  • Data Modeling – Dimensional modeling (star/snowflake schemas), normalization (3NF)
  • OLTP & OLAP – Understanding of transactional vs. analytical database design
  • Data Quality – Data cleansing, validation, consistency checks
  • Real estate data (property types, comparable analysis)
  • Multi-source data integration and harmonization
  • KPI reporting and dashboards
  • Real estate or property data systems (preferred)
Job Responsibility
Job Responsibility
  • Design scalable data models for high-volume property data (2,600-6,500 properties/month)
  • Build and maintain data integration pipelines from multiple sources
  • Implement complex entity relationships and dynamic grouping
  • Optimize for both transactional and analytical workloads
  • Develop Snowflake UDFs and stored procedures for business logic
What we offer
What we offer
  • 20 paid vacation
  • 5 paid sickness
  • B2B and remote cooperation
  • Career development and professional growth
  • Technical performance reviews and 360 Evaluation
  • Collaboration with a personal Direct Manager, Technical leads, and mentors
  • Udemy and Pluralsight subscription
  • Internal knowledge-sharing opportunities
  • Online and offline events & team-buildings
  • Friendly and supportive atmosphere
  • Fulltime
Read More
Arrow Right

Systems Engineer 2

SE2s work directly with our clients, as well as other system engineers, to provi...
Location
Location
Salary
Salary:
Not provided
atlasps.com Logo
Atlas Professional Services
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Mid-level IT engineer with minimum 2+ years of experience
  • Must have IT certifications, network plus or equivalent
  • Able to work in a fast paced, fast-growing environment
  • Able to work on support tickets independently and update status accurately
  • Knows when to escalate to higher level support
  • Able to learn and adapt quickly
  • Intermediate knowledge and experience with operating systems, such as Microsoft Windows and Active Directory
  • Intermediate knowledge and experience with authentication and directory services (Active Directory), etc.
  • Intermediate knowledge and experience with Windows system management tools, philosophies, and methods
  • Intermediate knowledge and experience with Windows automation (scripting, imaging, installation, management)
Job Responsibility
Job Responsibility
  • Able to work in a team environment focusing on assigned support service requests keeping customer informed on status
  • Handle daily technical support activities on desktop support, data network and server management and ability to multi-task with several Customers
  • Monitoring, maintaining, supporting and optimizing all networked software and associated operating systems in various customer environments
  • Maintaining network security, business continuity, records and documentation, and vendor relationships
  • Manage Active Directory Domain
  • including WINS, DHCP, IIS, DNS including user accounts/rights/permissions, group policies, etc.
  • Troubleshoot client production issues and analyze failures to minimize outages and interruptions
  • Review and troubleshoot monitored backup failures
  • Perform hardware/software updates /upgrades as required to maintain a secure and healthy network
  • Interface with support vendors to resolve network and system issues
Read More
Arrow Right