Data Engineer
Full Time
full-time
20 Oct 2025
Verified by Turrior
Content + Source + Freshness • 17 Dec 2025 • 95% confidence
75 / 100
Offer value
The Data Engineer position is valuable for applicants focused on data processing and ETL, though it demands specific technical skills which may deter less experienced candidates.
- Engages candidates in significant data-driven roles
- Involves cutting-edge ETL technologies
- Requires deep understanding of data flows
- Demands solid technical qualifications which may restrict access
Pros
- Strong focus on critical data management and ETL processes
- Opportunity to work with advanced big data tools like Apache Spark
- Collaboration with teams for data-driven decision-making
Cons
- Limited to candidates with notable ASP and programming experience
- Expectations for independence may intensify stress
- Potential for repetitive tasks in data processing
Who it's for
Mid/Senior • On-site
Good fit
- Data Engineers experienced with tools and cloud platforms
- Candidates eager to optimize and maintain data systems
- Individuals with a keen interest in continuous data solutions
Not recommended for
- Entry-level data professionals without relevant skills
- Those seeking mostly administrative roles
- Individuals who prefer to work solely remotely
Motivation fit
Desire to create robust data solutions and pipelinesInterest in optimizing data quality and workflowsReadiness to engage in continuous learning in data technologies
Key skills
Apache SparkETL ProcessesData Quality AssuranceCloud Services
Score: 75/100 AI verified analysis
About the job
Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Apache Spark
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education BTech or MTech or MCA with IT or CSE or EEE or ECE
Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and optimize data workflows, ensuring that the data infrastructure supports the organization's analytical needs effectively. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Develop and implement best practices for data management and processing. - Monitor and optimize data pipeline performance to ensure efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache Spark. - Good To Have Skills: Experience with data warehousing solutions. - Strong understanding of ETL processes and data integration techniques. - Familiarity with cloud platforms such as AWS or Azure for data storage and processing. - Experience with programming languages such as Python or Scala for data manipulation. Additional Information: - The candidate should have minimum 7.5 years of experience in Apache Spark. - This position is based in Hyderabad. - A BTech or MTech or MCA with IT or CSE or EEE or ECE is required.
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Apache Spark
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education BTech or MTech or MCA with IT or CSE or EEE or ECE
Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and optimize data workflows, ensuring that the data infrastructure supports the organization's analytical needs effectively. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Develop and implement best practices for data management and processing. - Monitor and optimize data pipeline performance to ensure efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache Spark. - Good To Have Skills: Experience with data warehousing solutions. - Strong understanding of ETL processes and data integration techniques. - Familiarity with cloud platforms such as AWS or Azure for data storage and processing. - Experience with programming languages such as Python or Scala for data manipulation. Additional Information: - The candidate should have minimum 7.5 years of experience in Apache Spark. - This position is based in Hyderabad. - A BTech or MTech or MCA with IT or CSE or EEE or ECE is required.
