CrawlJobs Logo

Lead Data Engineer (Warehouse)

nttdata.com Logo

NTT DATA

Location Icon

Location:
India , Bangalore

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

We are seeking a highly skilled and experienced Lead Data Engineer to join our dynamic team. The ideal candidate will have a strong background in implementing data solutions using AWS infrastructure and a variety of core and supplementary technologies; leading teams and directing engineering workloads. This role requires a deep understanding of data engineering, cloud services, and the ability to implement high quality solutions.

Job Responsibility:

  • Lead and direct a small team of engineers
  • Engineer end-to-end data solutions using AWS services, including Lambda, S3, Snowflake, DBT, Apache Airflow
  • Cataloguing data
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
  • Providing best in class documentation for downstream teams to develop, test and run data products built using our tools
  • Testing our tooling, and providing a framework for downstream teams to test their utilisation of our products
  • Helping to deliver CI, CD and IaC for both our own tooling, and as templates for downstream teams
  • Use DBT projects to define re-usable pipelines

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 5+ years of experience in data engineering
  • 2+ years of experience in leading a team of data engineers
  • Experience in AWS cloud services
  • Expertise with Python and SQL
  • Experience of using Git / Github for source control management
  • Experience with Snowflake
  • Strong understanding of lakehouse architectures and best practices
  • Strong problem-solving skills and ability to think critically
  • Excellent communication skills to convey complex technical concepts to both technical and non-technical stakeholders
  • Strong use of version control and proven ability to govern a team in the best practice use of version control
  • Strong understanding of Agile and proven ability to govern a team in the best practice use of Agile methodologies

Nice to have:

  • An understanding of Lakehouses
  • An understanding of Apache Iceberg tables
  • An understanding of data cataloguing
  • Knowledge of Apache Airflow for data orchestration
  • An understanding of DBT
  • SnowPro Core certification

Additional Information:

Job Posted:
January 31, 2026

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 Lead Data Engineer (Warehouse)

Data Engineering Lead

Data Engineering Lead a strategic professional who stays abreast of developments...
Location
Location
India , Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10-15 years of hands-on experience in Hadoop, Scala, Java, Spark, Hive, Kafka, Impala, Unix Scripting and other Big data frameworks
  • 4+ years of experience with relational SQL and NoSQL databases: Oracle, MongoDB, HBase
  • Strong proficiency in Python and Spark Java with knowledge of core spark concepts (RDDs, Dataframes, Spark Streaming, etc) and Scala and SQL
  • Data Integration, Migration & Large Scale ETL experience (Common ETL platforms such as PySpark/DataStage/AbInitio etc.) - ETL design & build, handling, reconciliation and normalization
  • Data Modeling experience (OLAP, OLTP, Logical/Physical Modeling, Normalization, knowledge on performance tuning)
  • Experienced in working with large and multiple datasets and data warehouses
  • Experience building and optimizing ‘big data’ data pipelines, architectures, and datasets
  • Strong analytic skills and experience working with unstructured datasets
  • Ability to effectively use complex analytical, interpretive, and problem-solving techniques
  • Experience with Confluent Kafka, Redhat JBPM, CI/CD build pipelines and toolchain – Git, BitBucket, Jira
Job Responsibility
Job Responsibility
  • Strategic Leadership: Define and execute the data engineering roadmap for Global Wealth Data, aligning with overall business objectives and technology strategy
  • Team Management: Lead, mentor, and develop a high-performing, globally distributed team of data engineers, fostering a culture of collaboration, innovation, and continuous improvement
  • Architecture and Design: Oversee the design and implementation of robust and scalable data pipelines, data warehouses, and data lakes, ensuring data quality, integrity, and availability for global wealth data
  • Technology Selection and Implementation: Evaluate and select appropriate technologies and tools for data engineering, staying abreast of industry best practices and emerging trends specific to wealth management data
  • Performance Optimization: Continuously monitor and optimize data pipelines and infrastructure for performance, scalability, and cost-effectiveness, ensuring optimal access to global wealth data
  • Collaboration: Partner with business stakeholders, data scientists, portfolio managers, and other technology teams to understand data needs and deliver effective solutions that support investment strategies and client reporting
  • Data Governance: Implement and enforce data governance policies and procedures to ensure data quality, security, and compliance with relevant regulations, particularly around sensitive financial data
  • Fulltime
Read More
Arrow Right

Lead Data Engineer

Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader i...
Location
Location
India , Gurugram
Salary
Salary:
Not provided
https://www.circlek.com Logo
Circle K
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or master’s degree in computer science, Engineering, or related field
  • 7-9 years of data engineering experience with strong hands-on delivery using ADF, SQL, Python, Databricks, and Spark
  • Experience designing data pipelines, warehouse models, and processing frameworks using Snowflake or Azure Synapse
  • Proficient with CI/CD tools (Azure DevOps, GitHub) and observability practices
  • Solid grasp of data governance, metadata tagging, and role-based access control
  • Proven ability to mentor and grow engineers in a matrixed or global environment
  • Strong verbal and written communication skills, with the ability to operate cross-functionally
  • Certifications in Azure, Databricks, or Snowflake are a plus
  • Strong Knowledge of Data Engineering concepts (Data pipelines creation, Data Warehousing, Data Marts/Cubes, Data Reconciliation and Audit, Data Management)
  • Working Knowledge of Dev-Ops processes (CI/CD), Git/Jenkins version control tool, Master Data Management (MDM) and Data Quality tools
Job Responsibility
Job Responsibility
  • Design, develop, and maintain scalable pipelines across ADF, Databricks, Snowflake, and related platforms
  • Lead the technical execution of non-domain specific initiatives (e.g. reusable dimensions, TLOG standardization, enablement pipelines)
  • Architect data models and re-usable layers consumed by multiple downstream pods
  • Guide platform-wide patterns like parameterization, CI/CD pipelines, pipeline recovery, and auditability frameworks
  • Mentoring and coaching team
  • Partner with product and platform leaders to ensure engineering consistency and delivery excellence
  • Act as an L3 escalation point for operational data issues impacting foundational pipelines
  • Own engineering best practices, sprint planning, and quality across the Enablement pod
  • Contribute to platform discussions and architectural decisions across regions
  • Fulltime
Read More
Arrow Right

Lead Data Engineer

Lead Data Engineer to serve as both a technical leader and people coach for our ...
Location
Location
India , Gurugram
Salary
Salary:
Not provided
https://www.circlek.com Logo
Circle K
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s or master’s degree in computer science, Engineering, or related field
  • 8-10 years of data engineering experience with strong hands-on delivery using ADF, SQL, Python, Databricks, and Spark
  • Experience designing data pipelines, warehouse models, and processing frameworks using Snowflake or Azure Synapse
  • Proficient with CI/CD tools (Azure DevOps, GitHub) and observability practices
  • Solid grasp of data governance, metadata tagging, and role-based access control
  • Proven ability to mentor and grow engineers in a matrixed or global environment
  • Strong verbal and written communication skills, with the ability to operate cross-functionally
  • Strong Knowledge of Data Engineering concepts (Data pipelines creation, Data Warehousing, Data Marts/Cubes, Data Reconciliation and Audit, Data Management)
  • Working Knowledge of Dev-Ops processes (CI/CD), Git/Jenkins version control tool, Master Data Management (MDM) and Data Quality tools
  • Strong Experience in ETL/ELT development, QA and operation/support process (RCA of production issues, Code/Data Fix Strategy, Monitoring and maintenance)
Job Responsibility
Job Responsibility
  • Design, develop, and maintain scalable pipelines across ADF, Databricks, Snowflake, and related platforms
  • Lead the technical execution of non-domain specific initiatives (e.g. reusable dimensions, TLOG standardization, enablement pipelines)
  • Architect data models and re-usable layers consumed by multiple downstream pods
  • Guide platform-wide patterns like parameterization, CI/CD pipelines, pipeline recovery, and auditability frameworks
  • Mentoring and coaching team
  • Partner with product and platform leaders to ensure engineering consistency and delivery excellence
  • Act as an L3 escalation point for operational data issues impacting foundational pipelines
  • Own engineering best practices, sprint planning, and quality across the Enablement pod
  • Contribute to platform discussions and architectural decisions across regions
  • Fulltime
Read More
Arrow Right

Data Engineering Lead

The Engineering Lead Analyst is a senior level position responsible for leading ...
Location
Location
Singapore , Singapore
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10-15 years of hands-on experience in Hadoop, Scala, Java, Spark, Hive, Kafka, Impala, Unix Scripting and other Big data frameworks
  • 4+ years of experience with relational SQL and NoSQL databases: Oracle, MongoDB, HBase
  • Strong proficiency in Python and Spark Java with knowledge of core spark concepts (RDDs, Dataframes, Spark Streaming, etc) and Scala and SQL
  • Data Integration, Migration & Large Scale ETL experience (Common ETL platforms such as PySpark/DataStage/AbInitio etc.) - ETL design & build, handling, reconciliation and normalization
  • Data Modeling experience (OLAP, OLTP, Logical/Physical Modeling, Normalization, knowledge on performance tuning)
  • Experienced in working with large and multiple datasets and data warehouses
  • Experience building and optimizing ‘big data’ data pipelines, architectures, and datasets
  • Strong analytic skills and experience working with unstructured datasets
  • Ability to effectively use complex analytical, interpretive, and problem-solving techniques
  • Experience with Confluent Kafka, Redhat JBPM, CI/CD build pipelines and toolchain – Git, BitBucket, Jira
Job Responsibility
Job Responsibility
  • Define and execute the data engineering roadmap for Global Wealth Data, aligning with overall business objectives and technology strategy
  • Lead, mentor, and develop a high-performing, globally distributed team of data engineers, fostering a culture of collaboration, innovation, and continuous improvement
  • Oversee the design and implementation of robust and scalable data pipelines, data warehouses, and data lakes, ensuring data quality, integrity, and availability for global wealth data
  • Evaluate and select appropriate technologies and tools for data engineering, staying abreast of industry best practices and emerging trends specific to wealth management data
  • Continuously monitor and optimize data pipelines and infrastructure for performance, scalability, and cost-effectiveness
  • Partner with business stakeholders, data scientists, portfolio managers, and other technology teams to understand data needs and deliver effective solutions
  • Implement and enforce data governance policies and procedures to ensure data quality, security, and compliance with relevant regulations
What we offer
What we offer
  • Equal opportunity employer commitment
  • Accessibility and accommodation support
  • Global workforce benefits
  • Fulltime
Read More
Arrow Right

Lead Data Engineer

As a Lead Data Engineer or architect at Made Tech, you'll play a pivotal role in...
Location
Location
United Kingdom , Any UK Office Hub (Bristol / London / Manchester / Swansea)
Salary
Salary:
80000.00 - 96000.00 GBP / Year
madetech.com Logo
Made Tech
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Proficiency in Git (inc. Github Actions) and able to explain the benefits of different branch strategies
  • Strong experience in IaC and able to guide how one could deploy infrastructure into different environments
  • Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop
  • Good understanding of possible architectures involved in modern data system design (Data Warehouse, Data Lakes, Data Meshes)
  • Ability to create data pipelines on a cloud environment and integrate error handling within these pipelines
  • You understand how to create reusable libraries to encourage uniformity or approach across multiple data pipelines
  • Able to document and present end-to-end diagrams to explain a data processing system on a cloud environment
  • Some knowledge of how you would present diagrams (C4, UML, etc.)
  • Enthusiasm for learning and self-development
  • You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban
Job Responsibility
Job Responsibility
  • Define, shape and perfect data strategies in central and local government
  • Help public sector teams understand the value of their data, and make the most of it
  • Establish yourself as a trusted advisor in data driven approaches using public cloud services like AWS, Azure and GCP
  • Contribute to our recruitment efforts and take on line management responsibilities
  • Help implement efficient data pipelines & storage
What we offer
What we offer
  • 30 days of paid annual leave
  • Flexible parental leave options
  • Part time remote working for all our staff
  • Paid counselling as well as financial and legal advice
  • 7% employer matched pension
  • Flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan
  • Optional social and wellbeing calendar of events
  • Fulltime
Read More
Arrow Right

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...
Location
Location
United States , Brooklyn
Salary
Salary:
Not provided
premiumhealth.org Logo
Premium Health
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred
  • Proven track record and progressively responsible experience in data engineering, data architecture, or related technical roles
  • healthcare experience preferred
  • Strong knowledge of data engineering principles, data integration, ETL processes, and semantic mapping techniques and best practices
  • Experience implementing data quality management processes, data governance frameworks, cataloging, and master data management concepts
  • Familiarity with healthcare data standards (e.g., HL7, FHIR, etc), health information management principles, and regulatory requirements (e.g., HIPAA)
  • Understanding of healthcare data, including clinical, operational, and financial data models, preferred
  • Advanced proficiency in SQL, data modeling, database design, optimization, and performance tuning
  • Experience designing and integrating data from disparate systems into harmonized data models or semantic layers
  • Hands-on experience with modern cloud-based data platforms (e.g Azure, AWS, GCP)
Job Responsibility
Job Responsibility
  • Collaborate with the CDIO and Director of Technology to define a clear data vision aligned with the organization's goals and execute the enterprise data roadmap
  • Serve as a thought leader for data engineering and analytics, guiding the evolution of our data ecosystem and championing data-driven decision-making across the organization
  • Build and mentor a small data team, providing technical direction and performance feedback, fostering best practices and continuous learning, while remaining a hands-on implementor
  • Define and implement best practices, standards, and processes for data engineering, analytics, and data management across the organization
  • Design, implement, and maintain a scalable, reliable, and high-performing modern data infrastructure, aligned with the organizational needs and industry best practices
  • Architect and maintain data lake/lakehouse, warehouse, and related platform components to support analytics, reporting, and operational use cases
  • Establish and enforce data architecture standards, governance models, naming conventions ,and documentation
  • Develop, optimize, and maintain scalable ETL/ELT pipelines and data workflows to collect, transform, normalize, and integrate data from diverse systems
  • Implement robust data quality processes, validation, monitoring, and error-handling frameworks
  • Ensure data is accurate, timely, secure, and ready for self-service analytics and downstream applications
What we offer
What we offer
  • Paid Time Off, Medical, Dental and Vision plans, Retirement plans
  • Public Service Loan Forgiveness (PSLF)
  • Fulltime
Read More
Arrow Right

Senior AWS Data Engineer / Data Platform Engineer

We are seeking a highly experienced Senior AWS Data Engineer to design, build, a...
Location
Location
United Arab Emirates , Dubai
Salary
Salary:
Not provided
northbaysolutions.com Logo
NorthBay
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in data engineering and data platform development
  • Strong hands-on experience with: AWS Glue
  • Amazon EMR (Spark)
  • AWS Lambda
  • Apache Airflow (MWAA)
  • Amazon EC2
  • Amazon CloudWatch
  • Amazon Redshift
  • Amazon DynamoDB
  • AWS DataZone
Job Responsibility
Job Responsibility
  • Design, develop, and optimize scalable data pipelines using AWS native services
  • Lead the implementation of batch and near-real-time data processing solutions
  • Architect and manage data ingestion, transformation, and storage layers
  • Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
  • Orchestrate complex data workflows using Apache Airflow (MWAA)
  • Develop and manage serverless data processing using AWS Lambda
  • Design and optimize data warehouses using Amazon Redshift
  • Implement and manage NoSQL data models using Amazon DynamoDB
  • Utilize AWS DataZone for data governance, cataloging, and access management
  • Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch
  • Fulltime
Read More
Arrow Right

Senior Microsoft Stack Data Engineer

Hands-On Technical SENIOR Microsoft Stack Data Engineer / On Prem to Cloud Senio...
Location
Location
United States , West Des Moines
Salary
Salary:
155000.00 USD / Year
https://www.roberthalf.com Logo
Robert Half
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of DATA WAREHOUSE EXPERIENCE / Data Lake experience
  • Advanced SQL Server
  • Strong SQL experience, working with structured and unstructured data
  • Strong in SSIS ETL
  • Proficiency in SQL and SQL Queries
  • Experience with SQL Server and SQL Server
  • Knowledge of Data Warehousing and Data Warehousing
  • Data Warehouse experience: Star Schema and Fact & Dimension data warehouse structure
  • Experience with Azure Data Lake and Data lakes
  • Proficiency in ETL / SSIS and SSAS
Job Responsibility
Job Responsibility
  • Modernize, Build out a Data Warehouse, and Lead & Build out a Data Lake in the CLOUD
  • REBUILD an OnPrem data warehouse working with disparate data to structure the data for consumable reporting
  • ALL ASPECTS OF Data Engineering
  • Technical Leader of the team
What we offer
What we offer
  • Bonus
  • 2 1/2 day weekends
  • Medical, vision, dental, and life and disability insurance
  • 401(k) plan
  • Fulltime
Read More
Arrow Right