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Hyderabad, Telangāna, India
Actively hiring, first seen by us 9 hours agoEmployment type in the employer’s posting: Regular / PermanentFrom the employer’s posting
Demonstrated experience handling big-sized data engineering projects and managing complex, large-scale data systems.
Proficiency in programming languages such as SQL, Python, Java, or Scala.
Experience ensuring data quality, reliability, and monitoring data systems.
Hands-on experience with at least one major cloud platform: AWS, Azure or GCP.
Understanding of data formats and technologies such as Parquet, JSON, Delta Lake.
Strong understanding of data quality, reliability, security, and governance principles.
A healthier future drives us to innovate.
In the employer’s words · Read in context
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
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Day 0
Early. Similar jobs usually come down between day 6 and day 55.
From 13,193 similar postings that came down. Coming down is not always a hire.
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Technical Skills - Proficiency in programming languages such as SQL, Python, Java, or Scala. - Strong, expert knowledge of cloud platforms and Big Data tools, specifically Hadoop and Spark.
Job description The Senior IT Data Engineer is responsible for leading, designing, developing, and maintaining scalable and robust data pipelines and infrastructure. This role involves independently building ETL/ELT processes, optimizing data storage solutions (such as data warehouses and data lakes), ensuring data quality and reliability, and monitoring data systems. You will collaborate closely with data scientists and analysts to meet their specific data requirements, utilizing strong programming skills in Python or Scala, expert SQL knowledge, and proficiency in big data technologies like Spark. Description of the area
- Integrate data from databases, APIs, applications, files, streaming platforms, and third-party systems. - Develop robust data transformation and processing workflows using SQL, Python, and distributed processing technologies. - Impact/Strategy: Handles big-sized data engineering projects. Implements robust strategies that significantly improve the organization's data infrastructure.
- Experience ensuring data quality, reliability, and monitoring data systems. - Hands-on experience with at least one major cloud platform: AWS, Azure or GCP. - Understanding of data formats and technologies such as Parquet, JSON, Delta Lake.
- Hands-on experience with at least one major cloud platform: AWS, Azure or GCP. - Understanding of data formats and technologies such as Parquet, JSON, Delta Lake. - Strong understanding of data quality, reliability, security, and governance principles.
- Proficiency in programming languages such as SQL, Python, Java, or Scala. - Strong, expert knowledge of cloud platforms and Big Data tools, specifically Hadoop and Spark. - Advanced capability to solve complex data ingestion and processing problems, and to optimize data flows for enhanced system performance.
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.
Job description
The Senior IT Data Engineer is responsible for leading, designing, developing, and maintaining scalable and robust data pipelines and infrastructure. This role involves independently building ETL/ELT processes, optimizing data storage solutions (such as data warehouses and data lakes), ensuring data quality and reliability, and monitoring data systems. You will collaborate closely with data scientists and analysts to meet their specific data requirements, utilizing strong programming skills in Python or Scala, expert SQL knowledge, and proficiency in big data technologies like Spark.
Description of the area
Job Responsibilities
Qualifications
Education / Experience
Technical Skills
Additional Qualifications
A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let’s build a healthier future, together.
Roche is an Equal Opportunity Employer.
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Hyderabad, Telangāna, India
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