Data Delivery Manager

Hiring for Data Engineer - Delivery Manager

Exp : 10 - 15 yrs

Edu : BE/B.Tech/MCA

Work Loation : Hyderabad

.Roles & Responsibilitie:

Own end-to-end delivery of data engineering programs ensuring alignment with business goals, timelines, and quality standards.

Drive execution across multiple data initiatives within Azure and Databricks environments.

Provide technical leadership in designing and implementing scalable data pipelines using Python, PySpark, and Spark.

Required Skills:

Strong experience with Databricks, PySpark, Python, and Spark.

Expertise in Azure Data Services including ADF, ADLS, and Synapse.

Proven experience in delivery management, stakeholder management, and Agile execution

15+ years of IT Delivery and Technology Services experience.

15+ years managing large offshore delivery organizations.

Proven leadership of portfolios exceeding 200+ resources.

Financial Services or Banking experience is a MUST

Extensive technical experience in Data Engineering, Data Platforms, Data Brics.

Cloud Data Transformation Programs, Data Warehousing, Azure Data Platform and compliance experience

Technical Lead 

Job Description 

Role Overview 

We are seeking a highly skilled Data Engineering Lead with minimum of 5 years of hands-on experience in Azure data engineering, data warehousing, and automation-driven  integration. The ideal candidate should be a proven technical lead, capable of driving end-to-end 

project delivery and working closely with customer teams. This is a Work from Office / Customer Site role. 

Roles and Responsibilities 

• Lead the design, development, and delivery of data engineering and automation projects. 

• Architect and implement ETL/ELT pipelines using Azure Data Factory. 

• Design and manage enterprise data warehouses including dimensional modeling and 

schema optimization. 

• Manage Azure components including Storage Accounts, Data Lakes, Azure SQL, and Synapse. 

• Drive automation initiatives across data ingestion and transformation workflows. 

• Collaborate with business and technical stakeholders to translate requirements into scalable solutions. 

• Mentor team members and enforce engineering best practices. 

• Serve as the technical anchor responsible for ensuring high-quality, on-time delivery. 

Skills and Qualification 

• Strong hands-on experience with Azure Data Factory, Azure Storage, Azure SQL/Synapse. 

• Deep understanding of data warehousing concepts: star/snowflake schemas, fact/dimension modeling. 

• Experience with automation-led data engineering solutions. 

• Strong troubleshooting, optimization, and analytical skills. 

• Excellent communication and stakeholder management abilities. 

• Proven experience as a Technical Lead leading teams and delivery. 

Must Have 

• Min of 5 years of relevant data engineering experience. 

• Strong Azure Data Engineering and Data Warehousing expertise. 

• Proven Technical Lead experience. 

• Ability to work from office and customer site. 

• Strong ownership mindset with a focus on quality and delivery excellence.

Job Summary

Role Overview

We are looking for an experienced Data Engineer with strong expertise in Python, ETL, Advanced SQL, CI/CD, DevOps, and Data Analytics. The ideal candidate should have hands-on experience designing and developing scalable data pipelines, transforming large datasets, and supporting data-driven applications.

Experience with Google Cloud Platform (GCP) will be an added advantage.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines using Python and SQL.
• Develop complex and optimized SQL queries, stored procedures, and data transformations.
• Build and maintain reliable data integration workflows across multiple data sources.
• Perform data cleansing, validation, transformation, and quality checks.
• Analyze data and provide insights to support business and technical requirements.
• Implement and maintain CI/CD pipelines for data engineering applications.
• Work with DevOps practices and tools to automate deployments, monitoring, and infrastructure processes.
• Troubleshoot data pipeline failures, performance issues, and production incidents.
• Optimize data processing workflows for performance, scalability, and reliability.
• Collaborate with Data Analysts, Data Scientists, Developers, and other stakeholders.
• Follow best practices for version control, testing, documentation, and deployment.
• Contribute to cloud-based data engineering initiatives, preferably on GCP.

Required Skills

• 5–7 years of hands-on experience in Data Engineering.
• Strong programming skills in Python.
• Strong expertise in Advanced SQL and database concepts.
• Hands-on experience with ETL/ELT processes and data pipelines.
• Good understanding of Data Warehousing and Data Modeling concepts.
• Experience with CI/CD practices and tools.
• Strong understanding of DevOps principles, automation, and deployment processes.
• Strong data analytics and problem-solving skills.
• Experience working with large datasets and performance optimization.
• Good understanding of Git/version control and software development best practices.

Good to Have

• Hands-on experience with Google Cloud Platform (GCP).
• Exposure to GCP data services such as BigQuery, Cloud Storage, Dataflow, Composer, or Pub/Sub.
• Experience with containerization/orchestration technologies such as Docker/Kubernetes.
• Experience with workflow orchestration tools such as Airflow.
• Knowledge of cloud-based data architecture and distributed data processing.

Preferred Candidate Profile

• Strong analytical and problem-solving abilities.
• Good communication and stakeholder management skills.
• Ability to work independently as well as in a collaborative team environment.
• Strong ownership of data pipelines and production systems.
• Candidates who can join at short notice are preferred.

Mandatory Skills

 Data Engineer, Python , ETL, GCP, Advanced SQL, Strong Data Analytics skills, CICD, Devops

Job Summary

The Technical Lead will be responsible for overseeing and leading projects related to Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, and Python. The role involves designing, developing, and implementing data solutions while ensuring they meet the business requirements and align with best practices. (1.) Key Responsibilities

1. Lead and manage end-to-end data engineering projects using azure data factory, azure databricks, sql, oracle pl/sql, and python.

2. Collaborate with stakeholders to gather and understand requirements for data pipelines and analytics solutions.

3. Design and develop etl processes, data models, and data integration solutions.

4. Provide technical guidance and mentorship to the team members.

5. Ensure data quality, data governance, and data security standards are maintained throughout the project lifecycle.

6. Troubleshoot and optimize data pipelines and processes for performance and efficiency.

7. Stay updated on the latest trends and technologies in data engineering and contribute to continuous improvement efforts.

Skill Requirements

1. Proficiency in azure data factory (adf) and azure databricks for building and managing data pipelines.

2. Strong experience with sql and oracle pl/sql for data querying and manipulation.

3. Advanced programming skills in python for scripting and data processing tasks.

4. Knowledge of data modeling, data warehousing concepts, and database design principles.

5. Ability to work in a collaborative team environment and communicate effectively with stakeholders.

6. Strong analytical and problem-solving skills with attention to detail.

7. Experience in data visualization tools and techniques is a plus.

Certifications: Relevant certifications in Azure Data Factory, Azure Databricks, SQL, Oracle PL/SQL, or Python are advantageous.

Skill (Primary)

Data Fabric-Azure-Azure Data Factory (ADF)

1. Company Description:

Tatvic, is a marketing analytics company focusing on generating insights from data using long association with Google & its infrastructure. We breed,recognize and reward performance. As a company we are growing very fast & we are under transformation. To enable this transformation we need future leaders with eyesight which balances execution & strategic understanding.

Website: www.tatvic.com

2. Role Details

• Role: Lead Data Engineer
• Band: L4
• Department: Data Engineering
• Reporting to: L5 / Head of Delivery
• Location: Ahmedabad
• Job Type: Full Time
• Experience: 6-8 years of relevant experience
• Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field.

3. Mission & Role Overview

• Mission: To create high-level organizational impact by leading a team to design and deliver scalable, high-performance cloud-native data solutions. The Lead Data Engineer (L4) is responsible for ensuring technical excellence—specifically in BigQuery optimization and secure GCP/AWS architectures—while driving the transition to Agentic AI workflows and creating value through the development of L1-L3 engineers.
• Role Overview: This is a pivotal leadership role on the Management Track, responsible for end-to-end data outcomes for the function. The Lead Engineer ensures the quality of engineering execution, manages team utilization and resource allocation, and serves as the primary technical representative in cross-functional forums with Marketing, Strategy, and Product teams.

4. Key Responsibilities

• Lead the design, development, and deployment of scalable and efficient cloud-based data pipelines and architectures.
• Build reusable data solutions and software components that serve multiple customers and use cases.
• Architect cloud environments using GCP, ensuring best practices in IAM, Security, and Networking.
• Conduct Exploratory Data Analysis (EDA) on clickstream and behavioral datasets to derive insights.
• Manage end-to-end ETL processes, including data extraction, transformation, and loading using Python, SQL, and Airflow.
• Design and build production-grade software (APIs, services, internal tools) with sound engineering practices — version control, testing, CI/CD, and code review.
• Extend data platforms with AI capabilities — integrating LLMs, RAG pipelines, and agentic workflows where they add clear business value.
• Perform Root Cause Analysis (RCA) and resolve data quality, pipeline, or application issues.
• Collaborate cross-functionally with Marketing, Insights, Product, and Engineering teams to align data initiatives with business goals.
• Document architectures, design decisions, and operations clearly and consistently.
• Coach and mentor team members, ensuring technical excellence and continuous learning.
• Participate in recruitment and knowledge-sharing through interviews, blogs, and webinars.

5. Must-Have & Good-to-Have Skills

Must-Have Skills:

• Strong understanding of clickstream data and data pipeline architecture
• Hands-on experience with cloud platforms (GCP)
• Expertise in SQL, Python, and Airflow
• Solid software engineering foundation — API design, testing, version control, and deployment practices
• Proven ability to perform exploratory data analysis and data validation
• Knowledge of cloud security, IAM, and networking best practices
• Working knowledge of building or integrating AI/LLM-based components into existing systems
• Excellent problem-solving, stakeholder management, and communication skills

Good-to-Have Skills:

• Certifications such as: Google Cloud Professional Data Engineer / Cloud Architect
• AWS Certified Data Analytics or Azure Data Engineer Associate
• Google Analytics 4 (GAIQ)
• Experience in marketing attribution, commerce data, or analytics ecosystems
• Exposure to cost optimization and cloud resource management
• Experience with agent frameworks (LangChain, ADK, MCP) or LLM APIs
• Experience building automation frameworks or internal data tools

6. Not-a-Fit Criteria

• Individual Contributor Focus: Operates as the team's best individual contributor instead of building team capability or empowering L3s.
• Information Hoarding: Keeps architectural patterns or tribal knowledge trapped in their head rather than creating reusable playbooks and documentation.
• Avoidance of Conflict: Avoids difficult performance conversations with underperforming team members, allowing capability gaps to persist.
• Activity Over Outcomes: Measures success by "tasks completed" rather than pipeline stability, data accuracy, or business impact.
• Functional Siloing: Fails to build partnerships with Marketing or Product teams, leading to misaligned data delivery.

Our Culture & Perks - Where Passion Meets Purpose:

• Competitive CTC: Based on experience and skillset
• Medical Insurance for you and your family
• Return-to-Work Program for New Moms — because career breaks shouldn’t break momentum
• 1 Work From Home Day/Month — flexibility when life calls
• 2 Birthday Leaves/Year — one for you, one for someone you love
• Monthly Engagement Activities — from game nights to learning sessions
• Inclusive Culture & Equal Opportunity Employer — diversity drives our innovation
• We Think Like Engineers & Athletes: we build, we iterate, we scale, we win — together
• 5-day workweek — because balance drives brilliance

We are looking for a dynamic Data Engineer to join our team of technology enthusiasts. You will leverage data to drive strategic decision-making and pioneering solutions, working with complex datasets, collaborating closely with stakeholders, and transforming data into actionable insights to drive innovation.

Qualifications and Skills:

• Minimum 5 years of experience as a Data Engineer
• Hands-on experience with Azure cloud-based data solutions
• Expertise in database design and management, including SQL databases such as SQL Server
• Proficient in ETL (Extract, Transform, Load) design for data integration and processing
• Strong knowledge of data modeling principles and techniques
• Ability to analyze and translate data into actionable insights, reports, and visualizations
• Proficiency in Power BI for reporting and data visualization

Desirable Skills:

• Experience with Power BI Report Builder / Reporting Services
• Knowledge of statistical analysis or Data Science
• Experience within the UK Insurance industry is a plus
• Python or R coding skills

Responsibilities:

• Implement efficient data exchange between internal and external systems to increase efficiency and reduce re-keying and translation errors
• Support the Broking business by developing high-quality information resources, ensuring data availability and accessibility for decision-making
• Engineer data inputs and outputs from core applications and semi-structured remote service data through data syncs between data lake, ODS (SQL database), and leveraging Fabric and ADF
• Perform data engineering tasks including ingestion, cleansing, and collation from a wide range of internal and external sources
• Implement different methods of streaming data and create reconciliations for datasets
• Build analytical models to support reporting and analytics
• Collaborate with an agile delivery team to work on the backlog of specified work

About Us:

The QX Impact was launched with a mission to make A.I accessible and affordable and deliver AI Products/Solutions at scale for the enterprises by bringing the power of Data, AI, and Engineering to drive digital transformation. We believe without insights; businesses will continue to face challenges to better understand their customers and even lose them. Secondly, without insights businesses won't’ be able to deliver differentiated products/services; and finally, without insights, businesses can’t achieve a new level of “Operational Excellence” is crucial to remain competitive, meeting rising customer expectations, expanding markets, and digitalization.

Job Summary:

We are looking for a Senior Data Engineer who is creative, collaborative, and adaptable to join our agile team of data scientists, engineers, and UX developers. The role focuses on building and maintaining robust data pipelines to support advanced analytics, data science, and BI solutions.

As a Senior Data Engineer, you will work with internal and external data, collaborate with data scientists, and contribute to the design, development, and deployment of innovative solutions.

Key Responsibilities:

• Design, develop, test, and maintain optimal data pipeline and ETL architectures.
• Map out data systems and define/design required integrations, ETL, BI, and AI systems/processes.
• Prepare and optimize data for predictive and prescriptive modeling.
• Collaborate with teams to integrate ERP data into the enterprise data lake, ensuring seamless flow and quality.
• Enhance cloud data infrastructure on AWS or Azure for scalability and performance.
• Utilize big data tools and frameworks to optimize data acquisition and preparation.
• Build architectures to move data to/from data lakes and data warehouses for advanced analytics.
• Develop and curate data models for analytics, dashboards, and reports.
• Conduct code reviews, maintain production-level code, and implement testing approaches.
• Monitor, troubleshoot, and resolve data ingestion workflows to maintain reliability and uptime.
• Drive innovation and implement efficient new approaches to data engineering tasks.

Must-Have Skills:

• Bachelor’s degree in Computer Science, Mathematics, Engineering, or a related field.
• 5+ years of experience working with enterprise data platforms, including building and managing data lakes.
• 3–5 years of experience designing and implementing data warehouse solutions.
• Expertise in SQL, including developing stored procedures (SP) and applying advanced data design concepts.
• Proficiency in Spark (Python/Scala) and Spark Streaming for real-time data pipelines.
• Experience with AWS or Azure services (e.g., AWS Glue, Azure Data Factory, Redshift, Snowflake).
• Familiarity with big data tools such as Apache Kafka, Apache Spark, or Flink.
• Hands-on experience with orchestration tools (e.g., Apache Airflow, Prefect).
• Knowledge of CI/CD processes, version control (e.g., Git, Jenkins), and deployment automation.
• Strong problem-solving, communication, and collaboration skills.

Good-to-Have Skills:

• Experience in integrating ERP data into data lakes.
• Experience with traditional ETL tools (e.g., Talend, Pentaho).

Competencies:

• Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications.
• Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.
• Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
• Customer Focus - Building strong customer relationships and delivering customer-centric solutions.
• Optimize Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.

Why Join Us?

• Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
• Work on impactful projects that make a difference across industries.
• Opportunities for professional growth and continuous learning.
• Competitive salary and benefits package.

Application Details

Ready to make an impact? Apply today and become part of the QX Impact team!

GEMBA CONCEPTS · TECHNOLOGY DIVISION

 · JOB DESCRIPTION

Technical Delivery Manager – Services LOCATION Bengaluru (Hybrid) ABOUT GEMBA CONCEPTS EXPERIENCE 5–8 years REPORTS TO Chief Technology Officer TYPE Full-time Gemba Concepts helps manufacturers and enterprises improve how their operations run. Our technology division builds and runs Gemba Connect, a suite of enterprise SaaS products spanning warehouse management, logistics, ERP, and applied AI/ML, deployed across 30+ active client accounts in manufacturing, pharma, FMCG and retail.

ABOUT THE ROLE

We're looking for a technical leader to own Gemba's services business end to end: delivery, people, commercials and reporting. You'll run every client implementation and custom development engagement, build and manage the team that delivers them, and be the single point of accountability to clients and leadership for how services perform. You've written production Java code, can read a Spring Boot service and a SQL execution plan, and have since hired, reviewed and led delivery teams. The product roadmap stays with product leadership; everything we deliver to clients runs through you.

WHAT YOU'LL OWN Services business ownership

• Own the health of the services portfolio: delivery, client satisfaction, billing milestones and account growth.

• Run post-sale SOW execution. Ensure milestones are hit and billed on time, and follow up with finance and clients on receivables.

• Grow accounts by converting change requests and enhancements into scoped, priced, billable work.

• Track effort, utilisation and margin by account; act when an engagement turns unprofitable. Delivery

• Run multiple concurrent client implementations, owning scope, timeline, cost and quality.

• Plan and run sprints with Tech Leads: grooming, estimation, capacity planning, reviews and retros.

• Own go-lives (UAT, cutover, data migration, hypercare) and post-go-live support SLAs.

• Maintain RAID logs and delivery dashboards; flag risk early, with a proposed fix. Requirements and change control

• Be the single intake point between consulting teams, clients and engineering; convert requirements into user stories with testable acceptance criteria.

• Baseline scope and run a formal change-request process. Every change is priced in effort, cost and date before it's accepted.

• Make sure what's agreed is documented before it's built. People and hiring • Plan services headcount against the delivery pipeline and run hiring end to end (role definition, interviews, closing) at a high bar.

• Run goal-setting, regular 1:1s and performance reviews for the services team; give input on promotions, compensation and performance plans.

• Grow Tech Leads and senior engineers into people who can own accounts independently.

• Own team retention and morale. Know who's at risk before they resign. Gemba Concepts · Technology Division Page 1GEMBA CONCEPTS · TECHNICAL DELIVERY MANAGER – SERVICES Reporting

• Publish monthly services MIS to leadership: revenue billed, collections, on-time delivery, SLA adherence, utilisation, hiring and attrition.

• Contribute the services section to quarterly board reporting.

• Run monthly or quarterly business reviews with key client stakeholders. Technical oversight

• Work with Tech Leads on design reviews, integrations (ERP, WMS, third-party systems) and non-functional requirements.

• Lead incident triage and root-cause reviews on client escalations; track corrective actions to closure.

• Coordinate with DevOps on environments, CI/CD and release windows.

• Uphold security and compliance controls (e.g., SOC 2) across delivery. Improving how we deliver

• Drive adoption of AI-assisted development and testing tools, and measure whether they actually raise throughput per engineer.

• Tighten estimation accuracy, definition of done and release discipline across the services team. MUST-HAVES

• 5–8 years in software, including 2+ years as a hands-on Java developer and 2+ years in delivery or project management.

• 1+ year leading a team of 5+ directly, including hiring and performance reviews.

• Strong working knowledge of Java and Spring Boot. You can review a PR, understand how a service is structured, and challenge an estimate.

• Solid SQL: schema design, writing and debugging queries, and understanding of indexing, transactions and production issues such as slow queries and connection pool exhaustion (SQL Server/Azure SQL, PostgreSQL or MySQL).

• Hands-on exposure to cloud platforms (Azure preferred, AWS/GCP acceptable).

• Working experience with the commercial side of client engagements: SOWs, milestone billing and change orders. Margin tracking is a plus.

• Track record of delivering enterprise B2B software to external clients across multiple parallel engagements.

• Proficiency with Jira or Azure DevOps, Confluence and Git-based workflows.

• Clear communication. You can present to a client CXO, write a board-ready MIS, and give an engineer hard feedback. GOOD TO HAVE

• Domain experience in manufacturing, supply chain, warehousing, logistics or ERP.

• Background in an IT services firm or the services arm of a product company.

• Familiarity with microservices, REST API design and message queues.

• Experience delivering AI/ML features.

• Exposure to SOC 2 or ISO 27001 audits.

• Certifications (PMP, CSM, PMI-ACP) are welcome but won't substitute for a delivery and team-building track record. WHAT SUCCESS LOOKS LIKE IN YOUR FIRST 6 MONTHS

• 85%+ of implementations go live on the committed date.

• Billing milestones are invoiced on time, and receivables ageing is visibly down. • Every active account has baselined scope, a live RAID log and a change log.

• Services hiring is on plan, with near-zero regretted attrition.

• Leadership gets a monthly services MIS without having to chase it. WHO YOU'LL WORK WITH The services delivery team (engineers, Tech Leads, BAs, QA), product squads, DevOps, consulting teams, finance and client stakeholders.

WHY JOIN Own a real business line with direct access to leadership. Build the team and operating model your way. Work on enterprise products in active growth, including applied AI.

Strong Senior Project Manager Profile with enterprise B2B SaaS, client-facing delivery experience

2

Mandatory (Experience 1): Must have 5+ years of project management experience with significant client-facing delivery time (non-negotiable), including experience in a B2B SaaS company serving enterprise customers

3

Mandatory (Experience 2): Must have managed complex enterprise projects end-to-end, from requirement/planning through successful delivery and go-live

4

Mandatory (Experience 3): Must have managed multi-country / multi-region rollouts (preferably North America and/or Europe), coordinating India-based delivery teams with customers/stakeholders in Western markets

5

Mandatory (Experience 4): Must have delivered technically complex / analytics-driven projects (AI/ML, Image Recognition, or Data Analytics)

6

Mandatory (Tech skill): Must have strong working knowledge of SQL, APIs, and Master Data Management (MDM)

7

Mandatory (Experience 5): Must have experience with SOWs, change requests, or RFPs, managing scope, timelines, risks, and dependencies using Waterfall or Agile

8

Mandatory (Ownership): Must be the accountable owner of the engagement — primary client point of contact, owning the project plan and go-live end-to-end — not a hands-on specialist executing the build

9

Mandatory (Skill): Must have strong facilitation, communication, stakeholder-management, and executive-level reporting skills across cross-functional, geographically distributed teams

10

Mandatory (Note): CTC is inclusive of variable

11

Preferred (Experience): Prior experience with customer onboarding

12

Preferred (Certification): PMP, CAPM, ITIL, or CSM.