- Workplace
- Remote
- Department
- Engineering
- Seniority
- Senior
- Experience
- 6+ years
- Education
- Bachelor
- Source
- Freshteam
Description
Job Title: [Senior Data Engineer]
Experience: [6 to 9 years]
Location: [Chennai/WFO-5 Days ]
About the Company:
Our client is a leading company in the digital advertising and media industry, specializing in OTT (Over-The-Top) and CTV (Connected TV) advertising solutions.
Role Overview:
We are looking for a highly skilled and motivated Senior Data Engineer to join our clients team. You will play a key role in designing, implementing, and optimizing data architectures and pipelines to support scalable data solutions for our business.
Key Responsibilities:
Design, build, and maintain efficient and scalable data pipelines to support data integration and transformation across various sources.
Work with relational databases (e.g., MySQL, PostgreSQL, etc.) and NoSQL databases (e.g., MongoDB, Cassandra, etc.) to manage and optimize large datasets.
Utilize Apache Spark for distributed data processing and real-time analytics.
Implement and manage Kafka for data streaming and real-time data integration between systems.Collaborate with cross-functional teams to gather and translate business requirements into technical solutions.
Monitor and optimize the performance of data pipelines and architectures, ensuring high availability and reliability.
Ensure data quality, consistency, and integrity across all systems.
Stay up-to-date with the latest trends and best practices in data engineering and big data technologies.
Required Skills:
6-9 years of experience in data engineering, with a focus on building and managing data pipelines.
Strong proficiency in relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
Experience in building data pipelines with data warehouses like Snowflake, Redshift
Experience in processing unstructured data stored from S3 using Athena, Glue etc.
Hands-on experience with Kafka for real-time data streaming and messaging.
Solid understanding of ETL processes, data integration, and data pipeline optimization.
Proficiency in programming languages like Python, Java, or Scala for data processing.
Experience with Apache Spark for big data processing and analytics is an advantage
Familiarity with cloud platforms like AWS, GCP, or Azure for data infrastructure is a plus.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Eligibility / Qualifications:
Education: B.E/B.Tech
Experience: 6 to 9 years
