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Senior Data Engineer - Azure Data Factory and SQL Job Opening In CHENNAI – Now Hiring UPS

Senior Data Engineer Azure Data Factory and SQL

    India Jobs Expertini Expertini › India › Jobs › Chennai › Other General › Senior Data Engineer Azure Data Factory And Sql

Job description

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Explore your next opportunity at a Fortune Global 500 organization.

Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day.

We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion.

If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

**Job Description:**

JOB SUMMARY
This position develops batch and real-time data pipelines utilizing various data analytics processing frameworks in support of Data Science and Machine Learning practices.

This position assists in the integration of data from various data sources, both internal and external.

This position performs extract, transform, load (ETL) data conversions, and facilitates data cleansing and enrichment as well as performs full systems life cycle management activities, such as analysis, technical requirements, design, coding, testing, implementation of systems and applications software.

This position assists in synthesizing disparate data sources to create reusable and reproducible data assets.

This position assists the Data Science community working through analytical model feature tuning.

RESPONSIBILITIES
• Contributes to data engineering projects and builds solutions by leveraging a foundational knowledge in software/application development, literate in the programming languages used for statistical modeling and analysis, data warehousing and Cloud solutions, and building data pipelines.
• Collaborates effectively, produces data engineering documentation, gathers requirements, organizes data and defines the scope of a project.
• Performs data analysis and presents findings to the stakeholders to support business needs.
• Participates in the integration of data for data engineering projects.
•Understands and utilizes analytic reporting tools and technologies.
• Assists with data engineering maintenance and support.
• Assists in defining the data interconnections between organizations’ operational and business functions.
• Assists in backup and recovery and utilizes technology solutions to perform POC analysis.

QUALIFICATIONS
Requirements:
• Understanding of database systems and data warehousing solutions.
• Understanding of data life cycle stages - data collection, transformation, analysis, storing the data securely, providing data accessibility
• Understanding of the data environment to ensure that it can scale for the following demands: Throughput of data, increasing data pipeline throughput, analyzing large amounts of data, real-time predictions, insights and customer feedback, data security, data regulations, and compliance.
• Contributes to the following: Building a data platform, ensuring data is secure in motion and at rest, automating data compliance and auditing, data warehousing solutions for scalable analytics.
• Familiarity with analytics reporting technologies and environments – (e.g., PBI, Looker, Qlik, etc.)
• Basic knowledge of algorithms and data structures to assist in understanding the big picture of the organization’s overall data function.

Knowledge in data filtering and data optimization.
• Familiarity with a Cloud services platform (e.g., GCP, or AZURE, or AWS) and all the data life cycle stages.
• Understanding ETL tools capabilities.

Ability to pull data from various sources, perform a load of the transformed data into a database or business intelligence platform.
• Familiarity with Machine learning algorithms which help data scientists make predictions based on current and historical data.
• Knowledge of algorithms and data structures with the ability to organize the data for reporting, analytics, and data mining and perform data filtering and data optimization.
• Ability to build data APIs to enable data scientists and business intelligence analysts to query the data.
• Ability to code using programming language used for statistical analysis and modeling such as Python/Java/Scala/C++.
• Understanding the basics of distributed systems.
• A Bachelor’s degree in MIS or mathematics, statistics, or computer science, international equivalent, or equivalent job experience.

**Employee Type:**

Permanent

UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.


Required Skill Profession

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at UPS adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

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7. Obeying India laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in CHENNAI. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Interview Tips for Senior Data Engineer Azure Data Factory and SQL Job Success

UPS interview tips for Senior Data Engineer Azure Data Factory and SQL

Here are some tips to help you prepare for and ace your Senior Data Engineer Azure Data Factory and SQL job interview:

Before the Interview:

Research: Learn about the UPS's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior Data Engineer Azure Data Factory and SQL interview at UPS, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the UPS's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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