Sr Data Engineer

Zensar Technologies; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Zensar Technologies is seeking a data engineering professional to build and operate data pipelines, model data, and manage storage across distributed systems. The role emphasizes deep coding and guiding junior engineers, with emphasis on governance and security policies.

You will work with cloud warehouses (Snowflake, AWS/Azure), DBT, Airflow, and DevOps practices to deliver scalable data solutions. Strong Python (PySpark) skills and Data Vault concepts are important, as is clear business-facing

Qualifications

• Familiar with AWS and Azure Cloud.
• Snowflake with SnowPro Core certification required.
• Used DBT to deploy models in production.
• Configured and deployed Airflow; integrated DBT and Snowflake operators.
• Designed build and release pipelines; understands Azure DevOps Ecosystem.
• Strong Python skills, especially PySpark.
• Familiar with Data Vault concepts and semantic layer.
• Resilient in ambiguous situations; articulate problems clearly.
• Committed to documenting processes and evolving artifacts over time.

Responsibilities

• Establish a clear vision for data engineering practices aligned with the data architecture.
• Collaborate with product managers to understand business requirements and data leverage.
• Create, design, and develop complex data processing pipelines.
• Partner with the data intelligence team to design scalable data models.
• Write clean, iterative code and deploy data pipelines using CD practices.
• Select data modeling techniques and optimize physical data models.
• Assess trade-offs between data modeling approaches.

Skills

AWS & Azure Cloud

Snowflake

SnowPro Core

DBT

Airflow

Azure DevOps

Python PySpark

Data Vault concepts

Point In Time

Semantic Layer

Documentation

Data pipelines

Job description

Job Description

You are passionate about data, possessing the ability to build and operate data pipelines, and maintain data storage within distributed systems. This role requires a deep understanding of data modeling and experience with modern data engineering tools and platforms, along with cloud warehousing tools. It is perfect for individuals who can go deep into coding and leading junior members to implement a solution. Experience in defining and implementing data governance and security policies is crucial. Knowledge of DevOps and the ability to navigate all the phases of the data & release life cycle is also essential.

Job Description

You are passionate about data, possessing the ability to build and operate data pipelines, and maintain data storage within distributed systems. This role requires a deep understanding of data modeling and experience with modern data engineering tools and platforms, along with cloud warehousing tools. It is perfect for individuals who can go deep into coding and leading junior members to implement a solution. Experience in defining and implementing data governance and security policies is crucial. Knowledge of DevOps and the ability to navigate all the phases of the data & release life cycle is also essential.

Responsibilities

Your role will involve establishing a clear vision for data engineering practices, harmoniously aligning it with the data architecture. Collaboration with product managers is essential to comprehend business requirements and identify opportunities for data leverage. This position also entails the responsibility of creating, designing, and developing complex data processing pipelines. A cooperative relationship with the data intelligence team is necessary for designing scalable implementations and production of data models. The role involves writing clean, iterative code, utilizing various continuous delivery practices to deploy, support, and operate data pipelines. The selection of suitable data modeling techniques, optimization and design of physical data models, and understanding of the trade-offs between various data modeling techniques, form an integral part of this role.

Qualifications

• You are familiar with AWS and Azure Cloud.
• You have extensive knowledge of Snowflake , SnowPro Core certification is a must have.
• You have used DBT at least in one project to deploy models in production.
• You have configured and deployed Airflow and integrated various operator in airflow (especially DBT & Snowflake).
• You can design build, release pipelines and understand of Azure DevOps Ecosystem.
• You have excellent understanding of Python (especially PySpark) and able to write metadata driven programs.
• Familiar with Data Vault (Raw , Business) also concepts like Point In Time , Semantic Layer.
• You are resilient in ambiguous situations and can clearly articulate the problem in a business friendly way.
• You believe in documenting processes and managing the artifacts and evolving that over time.

About Us

At Zensar, we’re "experience-led everything". We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: "Together, we shape experiences for better futures". Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is "ONE with Client" - a set of four core values that reflect who we are and how we work: "One Zensar, Nurturing, Empowering, and Client Focus".

Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself.

We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.