Data Engineer+Java Development

1 week ago

Pune, Maharashtra, India SRS Consulting Inc Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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 )

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