Hello,
We are hiring for Data Engineer with Java for Pune location.
Exp : 4+Years
Loc : Pune (Hybrid)
Notice Period : Immediate joiners(notice period served or serving candidate)
NOTE : We are looking for Immediate joiners(notice period served or serving candidate)
Apply only If you are Immediate joiners(notice period served or serving candidate).
Apply only if you are having 4+Years of relevant experience into the below JD.
Job Description :
Responsibilities :
- Spearhead the design and implementation of ELT processes, especially focused on extracting data from and loading data into various endpoints, including RDBMS, NoSQL databases and data-warehouses.
- Develop and maintain scalable data pipelines for both stream and batch processing leveraging JVM based languages and frameworks.
- Collaborate with cross-functional teams to understand diverse data sources and environment contexts, ensuring seamless integration into our data ecosystem.
- Utilize AWS service-stack wherever possible to implement lean design solutions for data storage, data integration and data streaming problems.
- Develop and maintain workflow orchestration using tools like Apache Airflow.
- Stay abreast of emerging technologies in the data engineering space, proactively incorporating them into our ETL processes.
- Thrive in an environment with ambiguity, demonstrating adaptability and problem-solving skills.
Qualifications :
- BS in computer science or a related field.
- 4+ years of experience in data engineering or related field.
- Demonstrated system-design experience orchestrating ELT processes targeting data
- Hands-on experience with at least one streaming or batch processing framework, such as Flink or Spark.
- Hands-on experience with containerization platforms such as Docker and container orchestration tools like Kubernetes.
- Proficiency in AWS service stack.
- Familiarity with workflow orchestration tools such as Airflow.
- Experience with DBT, Kafka, Jenkins and Snowflake.
- Experience leveraging tools such as Kustomize, Helm and Terraform for implementing infrastructure as code.
- Strong interest in staying ahead of new technologies in the data engineering space.
- Comfortable working in ambiguous team-situations, showcasing adaptability and drive in solving novel problems in the data-engineering space.
Preferred :
- Experience with AWS
- Experience with CICD
- Experience instrumenting code for gathering production performance metrics
- Experience in working with a Data Catalog tool ( Ex : Atlan / Alation )