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3 Stalwart Innovations Jobs

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5-10 years

Indore, Hyderabad / Secunderabad, Pune + 1 more

1 vacancy

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Stalwart Innovations

posted 5mon ago

Job Role Insights

Flexible timing

Job Description

  • Design, develop, and maintain scalable data pipelines for data ingestion, transformation, and loading into GCP services (BigQuery, Dataflow, DataProc, Pub/Sub, Storage).
  • Collaborate with data architects and analysts to translate data requirements into technical specifications.
  • Utilize Debezium and Apache Flink to capture and process change data from various sources, including Oracle databases (expertise with GoldenGate preferred).
  • Develop and implement data quality checks and procedures for ensuring data accuracy and consistency.
  • Automate data processing tasks using scripting languages such as Python, Bash, or PowerShell.
  • Monitor and troubleshoot data pipelines to identify and resolve issues.
  • Contribute to the development and maintenance of data governance frameworks and policies.
  • Collaborate with other engineers to integrate data pipelines with applications and analytics tools.
SkillSets:
  • Minimum 5+ years of experience in building and operationalizing large-scale enterprise data solutions using GCP data and analytics services, alongside third-party tools like Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache Beam/Composer, BigTable, Cloud BigQuery, Cloud Pub/Sub, Cloud Storage, Cloud Functions, Github.
  • Strong proficiency in Python development is mandatory.
  • 3+ years of experience in working with data pipelines, ETL processes, and data warehousing concepts.
  • Expertise in Debezium and Apache Flink for change data capture and processing.
  • Strong understanding of Oracle databases, with familiarity with GoldenGate highly desired.
  • Working knowledge of SQL and experience with relational databases.
  • Familiarity with data modeling concepts and experience with data modeling tools is a plus.
  • Experience with scripting languages such as Bash or PowerShell.
  • Experience with data version control systems such as Git is a plus.
  • Understanding of data security best practices is essential.
  • Excellent communication and collaboration skills are required.
  • Ability to work independently and as part of a team is essential.
  • Experience with containerization technologies like Docker or Kubernetes.
  • Must have Google Cloud Certified Professional Data Engineer or equivalent data engineering certification.

Employment Type: Full Time, Permanent

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100%
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Flexible timing
Monday to Saturday
No travel
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Stalwart Innovations Benefits

Free Transport
Child care
Gymnasium
Cafeteria
Work From Home
Free Food +6 more
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