Hyderabad
Full-Time
Senior: 7 to 10 years
15L - 20L (Per Year)
Posted on Jan 16 2024

About the Job

Skills

Strong knowledge of SQL
ETL tools
Report building experience
Strong Debugging/
building data pipelines
experience in Python

Company Overview


ProcessQ Technologies is an IT consulting company with a strong focus on providing solutions for core IT development, business application development, collaborative enterprise solutions, IT infrastructure management, HR planning & staffing, and legacy systems management. With a team of industry experts, we have gained a reputation for delivering high-quality services and solutions to our clients. With headquarters in Hyderabad, we have a dedicated workforce of 51-200 employees.


Job Overview


We are looking for an experienced Data Engineer to join our team at ProcessQ Technologies. As a Data Engineer, you will be responsible for designing, developing, and maintaining our data infrastructure and systems. This is a senior-level position that requires 7 to 10 years of experience in data engineering. The job is based in Hyderabad, Telangana, India, and it is a full-time position with ProcessQ Technologies.


Qualifications and Skills


  • - Bachelor's degree in Computer Science, Engineering, or a related field
  • - 7 to 10 years of experience in data engineering, with a focus on building and optimizing data pipelines, architectures, and data sets
  • - Strong programming skills in languages such as Python, Java, or Scala
  • - Experience with relational and NoSQL databases, data warehousing, and data modeling
  • - Proficiency in ETL (Extract, Transform, Load) processes and tools
  • - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Hadoop, Spark)
  • - Knowledge of data governance, data privacy, and data security best practices
  • - Excellent problem-solving and analytical skills
  • - Strong communication and collaboration abilities


Roles and Responsibilities


  • - Designing, building, and maintaining scalable data pipelines for ingesting, processing, and analyzing large volumes of data
  • - Developing and implementing data models, database schemas, and data integration workflows
  • - Optimizing and enhancing existing data infrastructure and systems for performance and reliability
  • - Collaborating with cross-functional teams to understand data requirements and deliver data-driven solutions
  • - Writing well-documented, clean, and efficient code to ensure maintainability and scalability of data systems
  • - Troubleshooting and resolving issues related to data quality, data consistency, and data integrity
  • - Monitoring and ensuring the security and privacy of data
  • - Staying current with the latest trends and technologies in data engineering and recommending improvements to enhance data capabilities





About the company

From day one we have been a solutions riven company. Started with industry experts on the back of solving some mission critical development and maintenance problems, we steadily grew in to a multi services, multi product entity. Today our reach and credibility extends in to areas of core IT solution development, business application development, collaborative enterprise solutions, IT infrastruc ...Show More

Industry

IT Consulting

Company Size

51-200 Employees

Headquarter

hyderabad

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