Data Engineer
2 weeks ago
Position: Data Engineer (ETL / Python / PySpark / Azure / AWS)
Location: Pune / Trivandrum
Experience: 8+ Years
Notice Period: Immediate Joiners / Serving Notice / 1015 Days Max
Contact:
Company: Claidroid Technologies
Job Description
We are looking for an experienced Data Engineer to join our dynamic engineering team in Pune or Trivandrum.
The ideal candidate should have a strong background in ETL, Python, PySpark, Big Data, and Cloud platforms (Azure/AWS), along with experience in designing and maintaining scalable data systems and pipelines.
Key Responsibilities
- Develop and maintain scalable, reliable, and high-performance data pipelines.
- Analyze and organize raw data from multiple sources for ingestion, transformation, and modeling.
- Evaluate business needs and build optimal data pipeline architecture.
- Understand the technical environment and platform dependencies of the project.
- Assemble large, complex datasets that meet both functional and non-functional requirements.
- Design and develop analytics tools for actionable insights on business performance.
- Work hands-on with Hadoop, Spark, Hive, HBase, Kafka, and ELK stack.
- Work with NoSQL databases such as Cassandra or MongoDB.
- Implement, monitor, and optimize ETL processes using Python, PySpark, and SQL.
- Utilize cloud technologies (Azure/AWS) for data storage, orchestration, and deployment.
- Participate in application, data, and infrastructure architecture planning.
- Handle diverse data formats — JSON, text files, Kafka queues, and log data.
- Support production systems and coordinate with teams for incident resolution.
- Prepare documentation, progress reports, and risk assessments per project standards.
Required Skills
- ETL Development – Python, PySpark, SQL
- Big Data Technologies – Hadoop, Spark, Hive, HBase, Kafka, ELK stack
- Databases – SQL, Cassandra, MongoDB
- Cloud Platforms – Azure (Preferred) / AWS
- Architecture Knowledge – Application, Data, and Infrastructure Architecture
- Linux OS – Core principles, performance tuning
- Data Modeling – Strong understanding of database design and data manipulation
- Agile / DevOps working environment exposure
Qualifications
- Bachelor's or Master's Degree in Computer Science, IT, or related field
- 8+ years of experience in Data Engineering, ETL, or Big Data projects.
- Strong understanding of cloud data services and distributed systems.
- Excellent problem-solving and debugging skills.
- Strong communication and stakeholder management ability.
Preferred Candidate Profile
- Currently serving notice period or available to join within 10–15 days..
- Open to relocation to Pune or Trivandrum.
How to Apply
Interested candidates may send their updated CV to:
(Please mention "Data Engineer – Pune/Trivandrum" in the subject line.)
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