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Thomson Reuters
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Data Engineer

Data Engineer

Thomson Reuters

4 - 6 years

5 - 9 Lacs

Hyderabad

Posted:8 hours ago| Platform:

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Skills Required

python amazon redshift data engineering sql aws snowflake data analytics data management glue airflow microsoft azure visual communication business intelligence alteryx database design data science athena data visualization etl cloud computing

Work Mode

Work from Office

Job Type

Full Time

Job Description

Are you excited by the prospect of wrangling data, helping develop information systems/sources/tools, and shaping the way businesses make decisionsThe 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 thats 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 Timings12 PM to 9 PM (IST)

Work from office for 2 days in a week (Mandatory)

About You
Youre 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 Whats in it For You

Hybrid Work Model Weve 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 tomorrows 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 valuesObsess 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.

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Data Engineer