CrawlJobs Logo

Data Engineer Advisor

nttdata.com Logo

NTT DATA

Location Icon

Location:
India

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

The Data Engineer Advisor will lead the migration of SAP data to the Databricks platform, requiring expertise in SAP systems and data engineering. Responsibilities include designing migration plans, optimizing performance, and ensuring data quality.

Job Responsibility:

  • Design and implement migration plans for SAP data to Azure Databricks using tools like Qlik Replicate, ADF, and Airflow
  • Convert SAP BW data models and ETL jobs into PySpark workflows on Databricks
  • Develop Bronze, Silver, and Gold layers following Medallion Architecture for structured ingestion and transformation
  • Ensure accurate mapping of SAP tables and business objects to Databricks Delta tables
  • Implement data quality checks, lineage tracking, and governance using Unity Catalog
  • Optimize ingestion pipelines for large SAP datasets to minimize latency and maximize throughput
  • Conduct performance tuning for queries and transformations
  • Work closely with SAP SMEs, data architects, and business analysts to validate requirements
  • Produce comprehensive documentation for migrated jobs and provide support during UAT and hypercare phases
  • Ensure compliance with enterprise security policies and manage RBAC for Databricks workspaces

Requirements:

  • Bachelor's degree in Computer Science or a related field
  • Strong knowledge of SAP BW, ECC, and related modules
  • Experience with SAP data extraction and transformation
  • Proficiency in Databricks, PySpark, and Delta Lake
  • Familiarity with Azure Data Lake Storage (ADLS) and orchestration tools like Airflow
  • Hands-on experience with Qlik Replicate, Informatica, or similar tools
  • Understanding of Unity Catalog, RBAC, and data governance frameworks
  • Strong analytical, problem-solving, and communication skills

Additional Information:

Job Posted:
January 26, 2026

Work Type:
Remote work
Job Link Share:

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

Briefcase Icon

Similar Jobs for Data Engineer Advisor

Principal Data Engineer

Our Principal Data Engineers are responsible for leading and delivering strategi...
Location
Location
United Kingdom , Bristol; London; Manchester; Swansea
Salary
Salary:
100000.00 - 115000.00 GBP / Year
madetech.com Logo
Made Tech
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Understanding of the issues and challenges that the public sector faces in delivering services that make the best use of data and digital capabilities, transforming legacy infrastructure, and taking an innovative and user-centric approach
  • Ability to innovate and take learnings from the commercial sector, other countries and advances in technology and apply them to UK Public Sector challenges to create tangible solutions for our clients
  • Experience building trusted advisor relationships with senior client stakeholders within the public sector.
  • Experience of building and leading high performing, consulting teams and creating the leveraged engagements to provide a cost-effective, profitable, successful client-facing delivery
  • Leadership of bids and solution shaping to produce compelling proposals that help Made Tech win new business and grow the industry
  • Experience of managing third-party partnerships and suppliers (in conjunction with Made Tech colleagues) to provide a consolidated and seamless delivery team to clients.
  • Experience in delivering complex and difficult engagements that span multiple capabilities for user-facing digital and data services in the public sector
  • Experience in identifying opportunities based on client needs and developing targeted solutions to progress the development of the opportunity
  • Experience of working with sales professionals and commercial responsibility for strategic organisational goals.
  • Experience working directly with customers and users within a technology consultancy
Job Responsibility
Job Responsibility
  • Collaborate with clients to understand their needs, provide solution advice in your role as a trusted advisor and shape solutions that leverage Made Tech's wider capabilities and credentials
  • Assess project performance as a part of the billable delivery team, Quality Assure (QA) the deliverables and outcomes, and ensure client satisfaction. Coach and mentor team members as well as providing direction to enable them to achieve their engagement outcomes and to develop their careers
  • Act as a Technical Authority of the Data & AI capability to provide oversight and ensure alignment with internal and industry best practices. Ensure engagement experience is captured and used to improve standards and contribute to Made Tech knowledge
  • Participate in business development activities, including bids and pre-sales within the account, industry and practice. Coach team members on their contributions and oversee the relevant technical aspects of the proposal submission
  • Undertake people management responsibilities, including performance reviews and professional development of your engagement and practice colleagues
  • Serve as a thought leader within Made Tech, our account engagements and the wider public sector and represent the company at industry events
What we offer
What we offer
  • 30 days of paid annual leave + bank holidays
  • Flexible Parental Leave
  • Remote Working
  • Paid counselling as well as financial and legal advice
  • 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

Senior Azure Data Engineer

Seeking a Lead AI DevOps Engineer to oversee design and delivery of advanced AI/...
Location
Location
Poland
Salary
Salary:
Not provided
lingarogroup.com Logo
Lingaro
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 6 years of professional experience in the Data & Analytics area
  • 1+ years of experience (or acting as) in the Senior Consultant or above role with a strong focus on data solutions build in Azure and Databricks/Synapse/(MS Fabric is nice to have)
  • Proven experience in Azure cloud-based infrastructure, Databricks and one of SQL implementation (e.g., Oracle, T-SQL, MySQL, etc.)
  • Proficiency in programming languages such as SQL, Python, PySpark is essential (R or Scala nice to have)
  • Very good level of communication including ability to convey information clearly and specifically to co-workers and business stakeholders
  • Working experience in the agile methodologies – supporting tools (JIRA, Azure DevOps)
  • Experience in leading and managing a team of data engineers, providing guidance, mentorship, and technical support
  • Knowledge of data management principles and best practices, including data governance, data quality, and data integration
  • Good project management skills, with the ability to prioritize tasks, manage timelines, and deliver high-quality results within designated deadlines
  • Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues
Job Responsibility
Job Responsibility
  • Act as a senior member of the Data Science & AI Competency Center, AI Engineering team, guiding delivery and coordinating workstreams
  • Develop and execute a cloud data strategy aligned with organizational goals
  • Lead data integration efforts, including ETL processes, to ensure seamless data flow
  • Implement security measures and compliance standards in cloud environments
  • Continuously monitor and optimize data solutions for cost-efficiency
  • Establish and enforce data governance and quality standards
  • Leverage Azure services, as well as tools like dbt and Databricks, for efficient data pipelines and analytics solutions
  • Work with cross-functional teams to understand requirements and provide data solutions
  • Maintain comprehensive documentation for data architecture and solutions
  • Mentor junior team members in cloud data architecture best practices
What we offer
What we offer
  • Stable employment
  • “Office as an option” model
  • Workation
  • Great Place to Work® certified employer
  • Flexibility regarding working hours and your preferred form of contract
  • Comprehensive online onboarding program with a “Buddy” from day 1
  • Cooperation with top-tier engineers and experts
  • Unlimited access to the Udemy learning platform from day 1
  • Certificate training programs
  • Upskilling support
Read More
Arrow Right

Senior Big Data Engineer

The Big Data Engineer is a senior level position responsible for establishing an...
Location
Location
Canada , Mississauga
Salary
Salary:
94300.00 - 141500.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ Years of Experience in Big Data Engineering (PySpark)
  • Data Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources
  • Big Data Infrastructure: Develop and manage large-scale data processing systems using frameworks like Apache Spark, Hadoop, and Kafka
  • Proficiency in programming languages like Python, or Scala
  • Strong expertise in data processing frameworks such as Apache Spark, Hadoop
  • Expertise in Data Lakehouse technologies (Apache Iceberg, Apache Hudi, Trino)
  • Experience with cloud data platforms like AWS (Glue, EMR, Redshift), Azure (Synapse), or GCP (BigQuery)
  • Expertise in SQL and database technologies (e.g., Oracle, PostgreSQL, etc.)
  • Experience with data orchestration tools like Apache Airflow or Prefect
  • Familiarity with containerization (Docker, Kubernetes) is a plus
Job Responsibility
Job Responsibility
  • Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
  • Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
  • Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
  • Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
  • Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
  • Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
  • Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
  • Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets
  • Fulltime
Read More
Arrow Right

Senior Big Data Engineer

The Big Data Engineer is a senior level position responsible for establishing an...
Location
Location
Canada , Mississauga
Salary
Salary:
94300.00 - 141500.00 USD / Year
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ Years of Experience in Big Data Engineering (PySpark)
  • Data Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources
  • Big Data Infrastructure: Develop and manage large-scale data processing systems using frameworks like Apache Spark, Hadoop, and Kafka
  • Proficiency in programming languages like Python, or Scala
  • Strong expertise in data processing frameworks such as Apache Spark, Hadoop
  • Expertise in Data Lakehouse technologies (Apache Iceberg, Apache Hudi, Trino)
  • Experience with cloud data platforms like AWS (Glue, EMR, Redshift), Azure (Synapse), or GCP (BigQuery)
  • Expertise in SQL and database technologies (e.g., Oracle, PostgreSQL, etc.)
  • Experience with data orchestration tools like Apache Airflow or Prefect
  • Familiarity with containerization (Docker, Kubernetes) is a plus
Job Responsibility
Job Responsibility
  • Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
  • Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
  • Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
  • Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
  • Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals
  • Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
  • Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
  • Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
What we offer
What we offer
  • Well-being support
  • Growth opportunities
  • Work-life balance support
  • Fulltime
Read More
Arrow Right

Big Data / Scala / Python Engineering Lead

The Applications Development Technology Lead Analyst is a senior level position ...
Location
Location
India , Chennai
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least two years (Over all 10+ hands on Data Engineering experience) of experience building and leading highly complex, technical data engineering teams
  • Lead data engineering team, from sourcing to closing
  • Drive strategic vision for the team and product
  • Experience managing an data focused product, ML platform
  • Hands on experience relevant experience in design, develop, and optimize scalable distributed data processing pipelines using Apache Spark and Scala
  • Experience managing, hiring and coaching software engineering teams
  • Experience with large-scale distributed web services and the processes around testing, monitoring, and SLAs to ensure high product quality
  • 7 to 10+ years of hands-on experience in big data development, focusing on Apache Spark, Scala, and distributed systems
  • Proficiency in Functional Programming: High proficiency in Scala-based functional programming for developing robust and efficient data processing pipelines
  • Proficiency in Big Data Technologies: Strong experience with Apache Spark, Hadoop ecosystem tools such as Hive, HDFS, and YARN
Job Responsibility
Job Responsibility
  • Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
  • Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
  • Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
  • Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
  • Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
  • Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary
  • 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

Big Data Scala Engineering Developer

The Applications Development Senior Programmer/Lead Analyst is an senior level p...
Location
Location
India , Pune; Chennai
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong solid understanding of the Big Data architecture and the ability to trouble shoot performance and/or development issues on Hadoop (Cloudera preferably)
  • 9+ years of experience working with Hive, Impala and Hbase, Kudu Spark for data curation/conformance related work
  • Strong proficiency in Spark for development work related to curation/conformance
  • Strong Scala developer (with previous Java background) preferred
  • Experience with Spark/Storm/Kafka or equivalent streaming/batch processing and event based messaging
  • Strong data analysis skills and the ability to slice and dice the data as needed for business reporting
  • Experience working in an agile environment with a fast paced changing requirements
  • Excellent planning and organizational skills
  • Strong Communication skills
  • Bachelor's degree/University degree or equivalent experience
Job Responsibility
Job Responsibility
  • Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development
  • Monitor and control all phases of development process and analysis, design, construction, testing, and implementation
  • Provide user and operational support on applications to business users
  • Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues
  • Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
  • Consult with users/clients and other technology groups on issues, recommend advanced programming solutions
  • Ensure essential procedures are followed and help define operating standards and processes
  • Serve as advisor or coach to new or lower level analysts
  • Interface with product teams to understand their requirements to build the ingestion pipelines and conformance layer
  • Work closely with the data ingestion team to track the requirements and drive the build out of the canonical models
  • Fulltime
Read More
Arrow Right

Data Quality Engineer

We are looking for one Data Quality Engineer responsible for designing, implemen...
Location
Location
India , Noida
Salary
Salary:
Not provided
https://www.soprasteria.com Logo
Sopra Steria
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 9+ years of experience in design and implement data quality frameworks to assess data accuracy, consistency, completeness, and validity
  • Strong experience of defining, documenting, and managing Data quality rules, metrics, and thresholds for key data domains
  • Strong experience of implementing automated validation and reconciliation processes across source and target systems
  • Strong expertise in Snowflake
  • Good Knowledge of SQL, and Data testing
  • In-depth knowledge of Data Governance, Sifflets, Data Quality, and MDM frameworks
  • Experience of working with Python
  • BE / B.Tech/ MS/ M.Tech/ MCA
  • Excellent documentation skills
  • Strong stakeholder management and Communication skills
Job Responsibility
Job Responsibility
  • Designing, implementing, and maintaining Data quality frameworks, validation processes, and monitoring solutions
  • Ensuring accuracy, completeness, and consistency of enterprise data
  • Collaborating with Data Architects, Data stewards, and Data Governance teams
  • Automating data validation
  • Resolving data anomalies
  • Building trust in Data products
  • Providing operational monitoring and reporting on data quality through tools and indicators
  • Onboarding Data products
  • Supporting users in ensuring consistency, facilitating adoption and maintaining features backlog
  • Configuring quality rules, managing dashboards/KPIs, and running monitoring checks
What we offer
What we offer
  • Commitment to fighting against all forms of discrimination
  • Inclusive and respectful work environment
  • Open to people with disabilities
  • Fulltime
Read More
Arrow Right