senior data warehouse developer

Pamsha

Urgent Hiring for Data Engineer (Contract)Location: GurgaonExperience: 6-10 yearsNotice Period: 0-30 daysJD:Responsibilities:&#61623; Help build and evolve the core data platform, including pipelines and data warehouse layers&#61623; Design and maintain structured datasets to support reporting and analytics&#61623; Work with structured and semi-structured data across PostgreSQL, MySQL, and MongoDB&#61623; Develop and maintain ETL pipelines for both raw data and analytics-ready warehouse tables&#61623; Write and optimize complex queries to process billions of records efficiently&#61623; Perform data exploration and mining to uncover patterns, inconsistencies, or optimization opportunities&#61623; Write transformation and automation logic using Groovy or Python&#61623; Manage infrastructure across on-prem and AWS environments&#61623; Collaborate with engineers, analysts, and product teams to solve business problems with data&#61623; Define and enforce data validation, audit, and alerting mechanismsRequirements:&#61623; 4&ndash;8 years of experience in data engineering or a related backend/data-heavy role&#61623; Strong SQL skills and deep understanding of query performance tuning&#61623; Proficient in Groovy or Python for scripting and automation&#61623; Hands-on experience with PostgreSQL, MySQL, and MongoDB at scale&#61623; Experience working with or building for a data warehouse (e.g., Redshift, Trino, PostgreSQL)&#61623; Comfortable working in cloud (AWS) and/or on-prem environments&#61623; Experience building and operating production data systems and pipelines&#61623; Strong problem-solving skills and a bias toward ownership and action&#61623; Ability to debug across systems and connect the dots in complex data flowsNice to Have&#61623; Experience with Apache NiFi, Airflow, or custom orchestrators&#61623; Exposure to data mining, anomaly detection, or pattern recognition techniques&#61623; Familiarity with warehouse modeling concepts (fact/dim tables, reporting views)&#61623; Experience with tools like Trino, AWS Athena, Metabase, or similar query/BI platforms&#61623; Familiarity with observability practices (monitoring, alerting, logging)&#61623; Exposure to streaming systems (Kafka, Spark, Flink)&#61623; Experience supporting compliance or finance-focused data workflows&#61623; Comfort working in containerized setups (Docker/Kubernetes)Job Type: Contractual / Temporary Contract length: 6 monthsWork Location: In person

Sr. Data Engineer

Advansys

Key Responsibilities: 
<ul>
<li>Design, develop, and maintain ETL workflows and mappings using Informatica PowerCenter (or IICS).</li>
<li>Collaborate with business analysts, data architects, and stakeholders to gather and translate business requirements into technical solutions.</li>
<li>Develop and optimize data pipelines to extract, transform, and load data from multiple sources into the data warehouse.</li>
<li>Perform data quality checks, error handling, and performance tuning to ensure reliable and efficient data processing.</li>
<li>Maintain and enhance existing data warehouse architectures, including star/snowflake schemas, fact and dimension tables.</li>
<li>Implement and monitor job scheduling and workflow dependencies (e.g., using Control-M, Autosys, or Informatica Scheduler).</li>
<li>Support data governance, metadata management, and data lineage initiatives.</li>
<li>Troubleshoot and resolve ETL and data-related issues in production and development environments.</li>
<li>Participate in code reviews, unit testing, and deployment activities following DevOps or CI/CD practices.</li>
</ul>
Requirements: 
Qualifications : 
<ul>
<li>At least 4 years of hands-on experience in data integration and ETL using Informatica PowerCenter or Informatica Intelligent Cloud Services (IICS).</li>
<li>Proven experience in the design and implementation of Data Warehouses for large-scale enterprise projects.</li>
<li>Knowledge and practical experience with database systems such as Oracle, SQL Server, Snowflake, or equivalent platforms like SingleStore (MemSQL).</li>
</ul>
Technical Skills: 
<ul>
<li>Proficiency in designing and implementing ETL/ELT processes using Informatica tools.</li>
<li>Experience in data modeling, including the design and construction of Star Schema and Snowflake Schema models.</li>
<li>Ability to optimize query performance and manage large data volumes in SingleStore environments.</li>
<li>Experience in Data Quality Management, implementing data validation and auditing mechanisms.</li>
<li>Familiarity with BI/Analytics fundamentals and connecting data warehouses to reporting tools such as Power BI or Tableau.</li>
</ul>

Informatica Data Warehouse Engineer (Single Store)

Advansys ME

Key Responsibilities: 
Design, develop, and maintain ETL workflows and mappings using Informatica PowerCenter (or IICS).
 Collaborate with business analysts, data architects, and stakeholders to gather and translate business requirements into technical solutions.
 Develop and optimize data pipelines to extract, transform, and load data from multiple sources into the data warehouse.
 Perform data quality checks, error handling, and performance tuning to ensure reliable and efficient data processing.
 Maintain and enhance existing data warehouse architectures, including star/snowflake schemas, fact and dimension tables.
 Implement and monitor job scheduling and workflow dependencies (e.g., using Control-M, Autosys, or Informatica Scheduler).
 Support data governance, metadata management, and data lineage initiatives.
 Troubleshoot and resolve ETL and data-related issues in production and development environments.
 Participate in code reviews, unit testing, and deployment activities following DevOps or CI/CD practices.
 Requirements
 
Qualifications : 
At least 4 years of hands-on experience in data integration and ETL using Informatica PowerCenter or Informatica Intelligent Cloud Services (IICS).
 Proven experience in the design and implementation of Data Warehouses for large-scale enterprise projects.
 Knowledge and practical experience with database systems such as Oracle, SQL Server, Snowflake, or equivalent platforms like SingleStore (MemSQL).
 
Technical Skills: 
Proficiency in designing and implementing ETL/ELT processes using Informatica tools.
 Experience in data modeling, including the design and construction of Star Schema and Snowflake Schema models.
 Ability to optimize query performance and manage large data volumes in SingleStore environments.
 Experience in Data Quality Management, implementing data validation and auditing mechanisms.
 Familiarity with BI/Analytics fundamentals and connecting data warehouses to reporting tools such as Power BI or Tableau.

Cargill

<div><div><div><h2 class="jobSectionHeader">Job Purpose and Impact</h2>
</div><div><ul><li>The Senior Professional, Data Engineering job designs, builds and maintains complex data systems that enable data analysis and reporting. With minimal supervision, this job ensures that large sets of data are efficiently processed and made accessible for decision making.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Key Accountabilities</h2>
</div><div><ul><li>Accountable for Data Quality solution design, development, deploy using Informatica IMDC &ndash; Cloud Data Quality platform across Data Migration/ Conversion Projects and Steady State.</li><li>
Build DQ solution design or architecture, define best practice, develop re-usable &amp; scalable DQ solution.</li><li>
Implement POC/ Pilot for DQ Solution using Informatica IDMC &ndash; Cloud Data Quality and Integration.</li><li>
Provide technical support and guidance to team on IDMC services &ndash; CDQ, CDI, CDP, CDGC, etc.</li><li>
Lead business and technical discussions, educate &amp; drive adoption of the DQ Solution/ tools.</li><li>
Partner with Global &amp; Enterprise data teams and consult on data quality capabilities to define, Implement and socialize data definitions, Standards/ Polices.</li><li>
Collaboration with business users &amp; data quality trustee, Identify and Prioritize DQ issues &amp; Remediation.</li><li>
Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.</li></ul></div></div><div><div><h2 class="jobSectionHeader">
Qualifications</h2>
</div><div><ul><li>12+ years of experience in Informatica Data Quality Platform - IDMC Cloud DQ and IDQ.</li><li>
Proven experience in Informatica IDMC Cloud services &ndash; Cloud Data Quality (CDQ), Data Integration (CDI), Application Integration (CAI), Data Profiling, Address Doctor/AD6, Data Governance and Catalog (CDGC).</li><li>
Sound knowledge in Data Quality Solution design and Architecture using Informatica cloud Platform.</li><li>
Hands-on in IDMC &ndash; Cloud Data Profiling, DQ Rule creation and DQ Scorecard generation functionalities.</li><li>
Hands-on in IDMC - Match &amp; Merge/ De-duplication process to identify Master &amp; Subordinate records.</li><li>
Experienced in IDMC - Data Extraction, Data validation and Reports generation for batch &amp; real-time.</li><li>
Hands-on in Informatica-Address Doctor/ AD6) - Address/ Location Cleansing, Standardizing and Validation</li><li>
Good knowledge in IDMC admin Tasks - Creation of Projects &amp; connections, Schedules, etc.</li><li>
Good knowledge in other IDMC services &ndash; Administrator, Monitor, Operational Insights, CLAIR GPT, etc.</li><li>
Hands-on experience in Informatica Power Center, IDQ developer, IDQ Analyst, MDM, etc.</li></ul></div></div></div>

Boston Consulting Group

<div>Who We Are
Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. 
 
To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. 
What You'll Do
Be part of a Data Platform Engineering team that is building a unified data platform architecture to unlock the company&rsquo;s internal Data and AI needs as Senior Manager &ndash; Data Warehouse Platforms (Data Platforms Engineer) you will be an integral Individual contributor of an Agile platform team responsible for designing, delivering and running the enterprise data platforms (Snowflake &amp; Google BigQuery) and the supporting ingestion, transformation, orchestration and governance stack. You will partner with Product Owners, Enterprise &amp; Solution Architects, Infrastructure, Security, Analytics and Engineering teams to ensure the platform is secure, cost-efficient, highly available and governed. You have managed SaaS Enterprise Platforms and are adept at configuring access, identity and authentication methods. 
You can support implementation of ingestion tooling (Fivetran, AWS Glue, custom connectors), the transformation layer (dbt), orchestration (Airflow), data-quality/catalog/lineage (Informatica IDMC/Catalog/DQ), and data observability (Monte Carlo). Day-to-day, you will own release automation, CI/CD, runbooks, RBAC and masking, SSO/Okta integration, secrets management, FinOps practices, performance tuning, optimization and incident response. You will also manage vendor relationships (Fivetran, Informatica, Monte Carlo etc.) to explore latest developments and contribute to roadmap discussions. Increasing platform maturity and reliability gets you excited and you can lead discussions and mentor engineers to adopt similar best practices 
You are a fair hand at developing &amp; supporting custom applications (Streamlit, Django/Python). You use AI to improve your own work and love building and supporting AI solutions to help your customers. 
What You'll Bring<ul><li>
8+ years in platform engineering / data platform roles, with 3+ years in a senior/lead (Manager / Senior Manager) capacity.</li><li>
Hands-on delivery of enterprise-scale data platforms (Snowflake and/or Google BigQuery) supporting analytics/ML at multi-TB scale.</li><li>
Proven expertise with ingestion and integration tools: Fivetran, AWS Glue or equivalent, and experience building secure custom connectors.</li><li>
Deep practical experience in dbt (models, testing, CI/CD), Airflow (DAG design, scheduling, SLAs) and SQL/Python development.</li><li>
Operational experience with Informatica IDMC / Catalog / Data Quality (or equivalent) for metadata, lineage and enterprise data quality.</li><li>
Experience deploying/operating data observability tooling (e.g., Monte Carlo) and implementing runbook-driven incident management.</li><li>
Strong cloud &amp; infra skills: Terraform, IAM, networking, logging/monitoring and FinOps for data workloads.</li><li>
Demonstrated capability in security &amp; governance: RBAC, masking/tokenization, SSO (Okta), secrets management and audit logging.</li><li>
Track record of platform ownership: performance tuning, capacity planning, upgrades/migrations and vendor management.</li><li>
Excellent stakeholder management and communication skills; experience translating business needs into platform KPIs.</li><li>
Bachelor&rsquo;s degree in computer science, Engineering or related field (master&rsquo;s preferred). Relevant certifications (SnowPro, GCP Data Engineer, AWS Professional) are a plus.</li><li>
Comfortable mentoring engineers, leading cross-functional teams and driving platform strategy and delivery.</li></ul> 
Who You'll Work With
As part of the Data Platform Engineering Portfolio, you&rsquo;ll join a team that values curiosity, ownership and pragmatic engineering &mdash; there&rsquo;s no single mould here. 
You&rsquo;ll partner closely with Product Owners, Enterprise &amp; Solution Architects, Security, Analytics and IT to deliver platform outcomes at scale. You will work day-to-day with the cross-functional Product Engineering team and the Chapter Lead to shape platform strategy, mentor engineers and drive delivery. Our stakeholders are global, highly analytical and decision-focused, giving you exposure to complex business problems and the chance to influence how data is used across the firm. 
Additional info
YOU&rsquo;RE GOOD AT 
<ul><li>
Architecting modern data platforms: Lead design, build and run of enterprise Data Warehouse platforms (Snowflake &amp; Google BigQuery) and modern ELT tooling to enable Analytics and AI use cases</li><li>
Enabling AI through data excellence &mdash; You understand what high-quality, well-governed data means for AI. You build the framework and tooling for data pipelines, feature stores, and data products that power model training, inference, and continuous learning.</li><li>
Being a guide for Ingestion tooling implementations: Help guide customers towards right platform-based solutions and partner with them in building appropriate connectors for batch &amp; streaming.</li><li>
Owning the transformation layer with dbt, modeling standards, testing, CI/CD and deployment governance. Build and maintain orchestration (Apache Airflow): scalable DAGs, scheduling, SLAs and alerting.</li><li>
Supporting Data Governance Initiatives with Platforms and Solutions: Implement enterprise data quality, cataloguing and lineage using Informatica IDMC / Catalog / Data Quality Deploying and operate data observability (e.g., Monte Carlo) and embed alerting/SLA workflows and runbooks.</li><li>
Solving complex engineering challenges &mdash; You bring structure and innovation to ambiguous technical problems, leveraging automation, CI/CD, and infrastructure-as-code to drive reliability and velocity. Drive automation for release management, version control, infrastructure provisioning (Terraform), and environment promotion.</li><li>
Defining and enforcing platform standards: schema design, partitioning/clustering, performance tuning and cost controls (FinOps).</li><li>
Governance and FinOps mindset &mdash; You understand how to balance control, cost, and agility &mdash; driving data security, compliance, and platform efficiency through metrics and continuous improvement. Implement security and governance: RBAC, data masking/tokenization, audit logging, SSO (Okta), and secrets management.</li><li>
Hands-on technical delivery &mdash; You&rsquo;re comfortable getting into code and configurations (Django, Python, dbt, Terraform, Airflow, etc.) while mentoring engineers to build sustainable, production-grade solutions.</li><li>
Lead incident management, capacity planning, performance tuning and platform upgrades/migrations.</li><li>
Manage vendor relationships, licensing, and procurement for core platform technologies.</li><li>
Drafting Architecture diagrams to support data problems after understanding the use case and the technical ecosystem</li><li>
Staying ahead of the curve &mdash; You are curious about emerging technologies (AI, Knowledge Graphs, MLOps, observability, and data contracts) and know when to pragmatically adopt them.</li><li>
Communicating for impact &mdash; You can explain architecture trade-offs clearly to executives, engineers, and analysts &mdash; inspiring trust and alignment through clarity and empathy.</li><li>
Coaching and mentoring engineers; translate business needs into measurable platform deliverables and KPIs.</li></ul> 
Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
 
BCG is an E - Verify Employer. Click here for more information on E-Verify.</div>

Global IT Data Engineer Senior Manager – Data Warehouse Platforms

S&P Global

About the Role: 
Grade Level (for internal use): 08
 Job Title: Data Warehouse Developer
 Location: Hyderabad
 Grade: 8
 
Job Summary: 
We are seeking a Data Integration & Reporting professional to support the development and maintenance of ETL pipelines, data models, and dashboards that enable business and financial decision-making. This role involves working with Informatica IICS, SQL, relational databases (Oracle, SQL Server, Redshift), and visualization tools like Tableau. The member will collaborate with developers, analysts, and stakeholders, assist with system integrations (Salesforce CPQ, Oracle ERP Finance), and ensure data quality and governance.
 
Key Responsibilities: 
Develop and maintain ETL pipelines and data integration processes using Informatica IICS.
 
Write and validate SQL queries across large datasets and relational databases.
 
Support data modeling, data marts, and star schema development.
 
Build and maintain dashboards and reports using Tableau.
 
Assist with system integrations and gain functional knowledge of Salesforce CPQ, Oracle ERP Finance.
 
Ensure data quality, testing, and documentation for governance and audit readiness.
 
Participate in Agile ceremonies and collaborate with cross-functional teams.
 
Qualifications: 
Bachelor’s degree in computer science, Engineering, Business, or Finance.
 
2 to 3 years of experience in data warehousing, ETL development, and SQL.
 
Experience with Informatica (IICS or PowerCenter) and relational databases.
 
Knowledge of data warehousing concepts, reporting practices, and BI tools.
 
Preferred: Experience with financial systems, Tableau, Agile delivery, and scripting (Python).
 
Core Skills & Technologies: 
ETL Tools: Informatica IICS, PowerCenter
 
Databases: Oracle, SQL Server, AWS Redshift
 
Reporting: Tableau, Power BI
 
Applications: Salesforce CPQ, Oracle ERP (Finance modules)
 
Languages: SQL (strong), scripting (Python) a plus
 
Methodologies: Agile (Scrum/Kanban), version control, CI/CD exposure
 
Shift time: 12 pm to 9 pm IST
 Working Model: twice a week wfo
 
What’s In It For You?
 
Our Purpose: 
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.
 
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
 
Our People: 
We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
 
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
 
Our Values: 
Integrity, Discovery, Partnership
 
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
 
Benefits: 
We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.
 
Our benefits include: 
Health & Wellness: Health care coverage designed for the mind and body.
 
Flexible Downtime: Generous time off helps keep you energized for your time on.
 
Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
 
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
 
Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
 
Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
 For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
 
Global Hiring and Opportunity at S&P Global: 
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
 
Recruitment Fraud Alert: 
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here .
 
-----------------------------------------------------------
 
Equal Opportunity Employer
 S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
 
If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
 
US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
 
----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH203 - Entry Professional (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)
 
Job ID: 322148
 Posted On: 2025-11-07
 Location: Hyderabad, Telangana, India

Associate Developer - Data Warehouse

mobiezy

Sr Data Engineer Location: IndiaExperience: 10+ YearsDepartment: Architecture Team, Data Insights &amp; AnalyticsRole SummaryWe are seeking an accomplished Data Engineer to join our dynamic Architecture Team within the Data Insights &amp; Analytics group. The ideal candidate will bring 7+ years of experience in architecting, developing, and managing robust, scalable data solutions for large-scale enterprises.You will design and implementation of next-generation data architectures &amp; AI ready Data Products and deliver enterprise insights. Deep expertise in the Databricks Lakehouse platform &amp; AWS Cloud Services, with preferable Experience/Knowledge in SAP data processing .Key Responsibilities<ul><li>Architect, design, and build scalable data architectures, pipelines, and data products (Databricks, AWS).</li><li>Design and develop enterprise data models; manage the full data life cycle.</li><li>Extract, transform, and integrate data from SAP ECC/S4HANA and other non-SAP environments.</li><li>Build solutions for real-time, streaming, and batch data workloads.</li><li>Define and implement data security, governance, and compliance standards.</li><li>Adapt and implement data quality and observability practices.</li><li>Perform performance tuning and cost optimization.</li><li>Support Operations teams in day-to-day business needs.</li><li>Collaborate with business and technical teams to understand requirements and deliver scalable data architecture solutions.</li></ul>Required Skills &amp; Qualifications<ul><li>Experience:</li><li>Minimum 10+ years in data architecture/data engineering roles.</li><li>Proven success in large-scale data environments.</li><li>Technical Proficiency:</li><li>Databricks Lakehouse platform:</li><li>Delta Lake &amp; Medallion Architecture</li><li>DLT Pipelines</li><li>PySpark Workbooks</li><li>Spark SQL &amp; SQL Warehouse</li><li>Unity Catalog (data governance, lineage)</li><li>Genie (query performance, indexing)</li><li>Security &amp; Role-Based Access Control</li><li>Bonus: MLflow knowledge</li><li>Data Modeling:</li><li>ER &amp; Dimensional modeling</li><li>Metadata management</li><li>Programming:</li><li>Python, SQL, PySpark</li><li>AWS Cloud Services:</li><li>S3, Lambda, EMR, Redshift, Bedrock</li><li>Familiarity with DevOps, CI/CD Process.</li></ul>Preferred/Optional Skills<ul><li>SAP ERP &amp; S/4HANA data extraction (DataSphere, BDC)</li><li>SLT, SAP ABAP, CDS views knowledge</li><li>Manufacturing domain experience</li><li>SAP data domain expertise</li></ul>Education<ul><li>Master&rsquo;s Degree in Computer Science, Information Systems or a related field is required.</li></ul>Certifications (Preferred/Nice to Have)<ul><li>Databricks Certified Data Engineer / Architect</li></ul>Job Type: Full-timePay: &#8377;501,672.41 - &#8377;1,845,896.21 per yearWork Location: Remote

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