Job Description

Company Name: VARITE India Private Limited
About The Client:
An American technology company that develops sells, repairs, and supports computers and related products and services. Products include personal computers (PCs), servers, data storage devices, network switches, software, computer peripherals, HDTVs, cameras, printers, and electronics. It is now expanding from offering computers only to delivering a range of technology for enterprise customers, like data storage, information security, virtualization, analytics, and cloud computing. Currently ranked 31st on the Fortune 500 list.
About The Job:

• Develops technical tools and programming to cleanse, organize and transform data and to maintain, protect and update data structures and integrity on an automated basis.
• Applies data extraction, transformation, and loading techniques in order to tie together large data sets from a variety of sources.
• Partners with both internal & external sources to design, build and oversee the deployment and operation of technology architecture, solutions and software.
• Designs, develops and programs methods, processes and systems to capture, manage, store and utilize structured and unstructured data to generate actionable insights and solutions.
• Responsible for the maintenance, improvement, cleaning, and manipulation of data in the business client's operational and analytics databases.
• Proactively analyzes and evaluates the business client's databases in order to identify and recommend improvements and optimization.

Essential Job Functions:

• Uses knowledge of existing and emerging data science engineering principles, theories, and techniques to inform business decisions; and produce accurate business insights.
• Completes projects and assignments of moderate scope and complexity under normal supervision to ensure customer and business needs are met.
• Applies discretion and independent judgement to interpret data trends and summarize data insights.
• Assists in the preliminary data exploration, data preparation for accurate model development.
• Establishes working relationships with others outside area of Data Science Engineering expertise.
• Prepares presentations of project outputs for external customers with assistance.
• Design, develop, and maintain scalable data pipelines and systems for data processing.
• Utilize Data Lakehouse, Spark on Kubernetes and related technologies to manage large-scale data processing.
• Perform data ingestion from various sources like API's, RDBMS, NoSQL DB's, Kafka, Middleware & Files using Spark and process data into Lakehouse platform.
• Develop and maintain py-spark scripts for automation of data processing tasks.
• Implement full and incremental data loading strategies to ensure data consistency and availability.
• Orchestrate and monitor workflows using Apache Airflow.
• Ensure code quality and version control using GIT.
• Troubleshoot and resolve data-related issues in a timely manner.
• Stay up-to-date with the latest industry trends and technologies to continuously improve our data infrastructure.
• Design, develop, and maintain scalable data pipelines and systems for data processing.
• Utilize Data Lakehouse, Spark on Kubernetes and related technologies to manage large-scale data processing.
• Perform data ingestion from various sources like API's, RDBMS, NoSQL DB's, Kafka, Middleware &
• Files using Spark and process data into Lakehouse platform.
• Develop and maintain py-spark scripts for automation of data processing tasks.
• Implement full and incremental data loading strategies to ensure data consistency and availability.
• Orchestrate and monitor workflows using Apache Airflow.
• Ensure code quality and version control using GIT.
• Troubleshoot and resolve data-related issues in a timely manner.
• Stay up-to-date with the latest industry trends and technologies to continuously improve our data infrastructure.

Qualifications:

• Proven experience as a Data Engineer (ETL, data warehousing, data Lakehouse).
• Strong knowledge of Spark on Kubernetes, S3 and Docker Images.
• Proficiency in Data engineering techniques with Py-spark.
• Strong experience in Data warehousing techniques like data mining, data analysis, data profiling.
• Experience with Python scripting for automation.
• Expertise in full and incremental data loading techniques.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment and communicate effectively with stakeholders.

Good to have:

• Understanding of streaming data applications using.
• Hands-on experience with Apache Airflow for workflow orchestration.
• Proficiency with GIT for version control
• Understanding of data engineering integration with LLMs or GEN-AI applications and Vector DB.
• Knowledge on Shell scripting Postgres SQL or SQL server or MSBI.

How to Apply: Interested candidates are encouraged to respond/submit their updated resumes, and for additional job opportunities, please visit
Unlock Rewards: Refer Candidates and Earn.
If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the preferred candidate completes a three-month assignment with VARITE.
Experience Level Bonus Referral: 0-2 years INR 5,000
2-6 years INR 7,500
6+ years INR 10,000
About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.
Equal Opportunity Employer:
VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.