We seek a Senior Data Engineer colleague to join our world-class client, one of the
biggest and most advanced IT company.
- Remote work
- Employment / Contract Type : Contract
- Location : India
- Duration : 1 year (with potential to be extended)
- Hours per Week : 40 (Full-time)
Description :
We are slooking for a highly skilled Senior Data Engineer to join our growing team of
consultants. In this role, you will be responsible for designing, constructing, and optimizing
large-scale data processing systems that enable advanced analytics and business intelligence. You
will collaborate closely with data scientists, analysts, and other engineers to ensure the availability,
reliability, and efficiency of our client’s Databricks solution.
Key Responsibilities
Design, develop, and maintain scalable and robust data pipelines that collect, process, andstore large volumes of structured and unstructured data.
Architect and implement data warehouses, data lakes, and other storage solutions thatsupport analytics and reporting needs.
Optimize data architectures and workflows for performance, scalability, and cost-efficiency.Collaborate with data scientists and analysts to understand data requirements and ensure thatdata systems meet their needs.
Ensure data quality, integrity, and security by implementing best practices in data governanceand management.
Develop and maintain documentation for data systems, including data models, flow diagrams,and operational procedures.
Mentor and guide junior data engineers, providing technical leadership and support.Stay current with emerging technologies and trends in data engineering, and apply them toimprove existing systems.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or arelated field.
5+ years of experience in data engineering or related fields, with a focus on large-scale datasystems
3+ years of experience with DatabricksProficiency in SQL and experience with databases such as MySQL, PostgreSQL, or NoSQLdatabases
Strong programming skills in languages such as Python, Java, or Scala.Experience with ETL tools and frameworks and data pipeline orchestration.Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (AWS,GCP, Azure).
Strong understanding of data warehousing concepts, data modeling, and schema design.Excellent problem-solving skills and attention to detail.Strong communication skills and ability to work effectively in a team-oriented environmentAbout Dexian
Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.