Sr. Data Engineer

ITC Infotech is a wholly owned subsidiary of ITC Limited, one of India's foremost private sector companies and a diversified conglomerate. The ITC Group, with a market capitalization of $65 billion, is globally recognized as a leader in sustainability. The group's vision is to achieve world-class performance and create growing value for both the Indian economy and its stakeholders. This vision is supported by core values such as Trusteeship, where professional managers hold the company in "trust" for its stakeholders;
a strong Customer Focus;
Respect for People;
a commitment to Excellence;
a pursuit of Innovation;
and a strong Nation Orientation.ITC Infotech's business philosophy is that business is at the center and technology is an enabler, as reflected in its tagline, "Business-friendly Solutions." The company offers a wide range of services and solutions across key business areas, including CIO Services (Automation, Digital Workplace, ERP), Digital Experience (Experience Transformation), and Product 4.0 (Product Lifecycle Management, Digital Manufacturing). In the last seven years, ITC Infotech has successfully doubled its revenue from $250 million to $500 million+ annually, with its EBIT improving from 8% to over 18%.With this strong growth momentum, ITC Infotech is now embarking on its next journey, known as 'Next Orbit,' with the ambitious goal of reaching $1 billion in annual revenue within the next four years. The Americas region is a critical part of this charter and is expected to increase its contribution to total revenue from the current 35% to a range of 40% to 50%. Manufacturing is a key vertical for the group and ITC Infotech with BFSI, Retail, CPG, Travel, Transportation & Hospitality being others.Start Date - Immediate
Duration - Long Term
Job Description:
This role is intended for a
Senior Data Engineer
who combines deep technical fluency with proven delivery leadership, driving predictable execution, engineering discipline, and continuous improvement.Also, looking for strong background, experience and understanding of relevant AI toolset applicable in a Snowflake, Python code-base and Airflow orchestration landscape.Key Responsibilities
Own solutioning and engineering practice across multiple tracks: scope, roadmap, milestones, dependencies, RAID, and change control.Establish and run governance cadence: weekly status, executive readouts, risk reviews, planning alignment, and steering updates.Drive delivery predictability and operational rigor through clear plans, measurable outcomes, and disciplined execution.Act as the primary delivery interface for customer stakeholders (Directors, Tech Managers, PgMs/PjMs, Product team, BSAs, Engineers, Architects).Translate business priorities into actionable plans with clear acceptance criteria, sequencing, and release milestones.Communicate proactively on progress, tradeoffs, risks, mitigations, and decisions required;
manage escalations and align on next steps.Technical Delivery Leadership (Data Engineering)
Lead delivery across ingestion, streaming, transformation, orchestration, and data product enablement using:Airflow
for orchestration, scheduling, dependency management, and operational SLAsKafka
for event/stream processing patterns and reliability considerationsDatabricks/Spark
for processing and pipelinesSnowflake
for warehousing/analytics, performance, and cost considerationsPostgres
for operational data sources / integrationsInfluence solution quality through
technical governance : design reviews, coding standards, data modeling standards, performance practices, and reusable patterns.Ensure production readiness: monitoring/alerting, runbooks, incident response, root-cause analysis, and preventative actions across tracks.Required Qualifications
10+ years in technology, with 5+ years in
data engineering leadership
for complex programs (services/consulting experience strongly preferred).Proven success delivering
multi-track programs
with complex dependencies and senior stakeholder engagement.Deep experience in data engineering delivery
including ETL/ELT, orchestration, data modeling, data quality, observability/monitoring, and production support.Technical fluency
required to lead engineering outcomes and challenge decisions (not required to be the primary architect for all areas), including:SQL (advanced)
and
Python
fundamentalsSnowflake and Databricks/Spark
delivery experience (one can be primary;
the other must be strong working knowledge)Airflow
concepts (DAG patterns, scheduling, SLAs, failure handling, operationalization)Kafka
concepts (producer/consumer patterns, reliability considerations, event-driven delivery)Postgres
fundamentals (query design/performance basics;
source/integration patterns)Strong Agile delivery experience (Scrum/Kanban) and tools (Jira/Confluence or equivalent).Excellent communication skills—able to align technical and non-technical audiences and drive decisions.Preferred / Nice-to-Have
Retail domain experience (ecommerce, merchandising, inventory, supply chain, pricing/promotions, customer/loyalty).Experience applying
AI/automation
to improve engineering delivery and operations (Copilot-style tools, workflow automation, guardrails).Data governance/compliance experience (PII handling, access controls, audit readiness).Familiarity with BI tools (Power BI/Tableau) and semantic layer concepts.Certifications: PMP, CSM/PSM, SAFe, Databricks/Snowflake certifications.ITC Infotech is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. ITC infotech is committed to providing veteran employment opportunities to our service men and women.
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