Job Description
Are you excited by the prospect of wrangling data, helping develop information systems/sources/tools, and shaping the way businesses make decisions? The Go-To-Markets Data Analytics team is looking for a skilled Data Engineer who is motivated to deliver top notch data-engineering solutions to support business intelligence, data science, and self-service data solutions.
About the Role:
In this role as a Data Engineer, you will:
Design, develop, optimize, and automate data pipelines that blend and transform data across different sources to help drive business intelligence, data science, and self-service data solutions.
Work closely with data scientists and data visualization teams to understand data requirements to ensure the availability of high-quality data for analytics, modelling, and reporting.
Build pipelines that source, transform, and load data that’s both structured and unstructured keeping in mind data security and access controls.
Explore large volumes of data with curiosity and conviction.
Contribute to the strategy and architecture of data management systems and solutions.
Proactively troubleshoot and resolve data-related and performance bottlenecks in a timely manner.
Be open to learning and working on emerging technologies in the data engineering, data science and cloud computing space.
Have the curiosity to interrogate data, conduct independent research, utilize various techniques, and tackle ambiguous problems.
Shift Timings: 12 PM to * PM (IST)
Work from office for 2 days in a week (Mandatory)
About You
You’re a fit for the role of Data Engineer, if your background includes:
Must have at least 4-6 years of total work experience with at least 2+ years in data engineering or analytics domains.
Graduates in data analytics, data science, computer science, software engineering or other data centric disciplines.
SQL Proficiency a must.
Experience with data pipeline and transformation tools such as dbt, Glue, FiveTran, Alteryx or similar solutions.
Experience using cloud-based data warehouse solutions such as Snowflake, Redshift, Azure.
Experience with orchestration tools like Airflow or Dagster.
Preferred experience using Amazon Web Services (S3, Glue, Athena, Quick sight).
Data modelling knowledge of various schemas like snowflake and star.
Has built data pipelines and other custom automated solutions to speed the ingestion, analysis, and visualization of large volumes of data.
Knowledge building ETL workflows, database design, and query optimization.
Has experience of a scripting language like Python.
Works well within a team and collaborates with colleagues across domains and geographies.
Excellent oral, written, and visual communication skills.
Has a demonstrable ability to assimilate new information thoroughly and quickly.
Strong logical and scientific approach to problem-solving.
Can articulate complex results in a simple and concise manner to all levels within the organization.
#LI-GS2
What’s in it For You?
Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, ****** orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.
Learn more on how to protect yourself from fraudulent job postings here.
More information about Thomson Reuters can be found on thomsonreuters.com.
About the Role:
In this role as a Data Engineer, you will:
Design, develop, optimize, and automate data pipelines that blend and transform data across different sources to help drive business intelligence, data science, and self-service data solutions.
Work closely with data scientists and data visualization teams to understand data requirements to ensure the availability of high-quality data for analytics, modelling, and reporting.
Build pipelines that source, transform, and load data that’s both structured and unstructured keeping in mind data security and access controls.
Explore large volumes of data with curiosity and conviction.
Contribute to the strategy and architecture of data management systems and solutions.
Proactively troubleshoot and resolve data-related and performance bottlenecks in a timely manner.
Be open to learning and working on emerging technologies in the data engineering, data science and cloud computing space.
Have the curiosity to interrogate data, conduct independent research, utilize various techniques, and tackle ambiguous problems.
Shift Timings: 12 PM to * PM (IST)
Work from office for 2 days in a week (Mandatory)
About You
You’re a fit for the role of Data Engineer, if your background includes:
Must have at least 4-6 years of total work experience with at least 2+ years in data engineering or analytics domains.
Graduates in data analytics, data science, computer science, software engineering or other data centric disciplines.
SQL Proficiency a must.
Experience with data pipeline and transformation tools such as dbt, Glue, FiveTran, Alteryx or similar solutions.
Experience using cloud-based data warehouse solutions such as Snowflake, Redshift, Azure.
Experience with orchestration tools like Airflow or Dagster.
Preferred experience using Amazon Web Services (S3, Glue, Athena, Quick sight).
Data modelling knowledge of various schemas like snowflake and star.
Has built data pipelines and other custom automated solutions to speed the ingestion, analysis, and visualization of large volumes of data.
Knowledge building ETL workflows, database design, and query optimization.
Has experience of a scripting language like Python.
Works well within a team and collaborates with colleagues across domains and geographies.
Excellent oral, written, and visual communication skills.
Has a demonstrable ability to assimilate new information thoroughly and quickly.
Strong logical and scientific approach to problem-solving.
Can articulate complex results in a simple and concise manner to all levels within the organization.
#LI-GS2
What’s in it For You?
Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, ****** orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.
Learn more on how to protect yourself from fraudulent job postings here.
More information about Thomson Reuters can be found on thomsonreuters.com.
💡 Quick Summary
Seeking a career-building opportunity? The Data Engineer position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Hyderabad offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
