Data EngineerJava Development

6 days ago

Pune Maharashtra India, Maharashtra SRS Consulting Inc Full time

Hello,We are hiring for "Data Engineer with Java" for Pune location.Exp : 4+YearsLoc : 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 dataHands-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 AWSExperience with CICDExperience instrumenting code for gathering production performance metricsExperience in working with a Data Catalog tool ( Ex : Atlan / Alation )

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