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ETL Developer (SQL & GCP)

ETL Developer (SQL & GCP)

ConfidentialBengaluru / Bangalore
21 days ago
Job description

Key Responsibilities :

1. ETL Pipeline Development :

  • Design, develop, and maintain  scalable ETL processes  to extract, transform, and load data from various structured and unstructured sources into  GCP-based data warehouses (BigQuery, Cloud SQL, Cloud Storage, etc.).
  • Develop efficient SQL queries and scripts to support  data transformation, aggregation, and validation.
  • Optimize ETL workflows to ensure  low-latency data processing  and high performance.

2. Google Cloud Dataform & Data Transformation :

  • Utilize  Google Cloud Dataform  to implement  SQL-based data transformations in BigQuery  following  best practices in data modeling, version control, and dependency management.
  • Develop  modular SQL workflows  using Dataform to simplify transformation logic and enhance reusability.
  • Integrate Dataform into existing  ETL / ELT pipelines  to streamline  data engineering and analytics workflows.
  • Leverage  Dataform's automated testing, scheduling, and Git-based version control  for  collaborative development and data quality assurance.
  • 3. Data Integration & Management :

  • Work with diverse data sources (databases, APIs, streaming data, and cloud storage) to  integrate data into centralized repositories.
  • Ensure  data consistency, integrity, and accuracy  through rigorous testing and validation.
  • Implement  incremental data loads, change data capture (CDC), and batch / real-time ETL strategies .
  • Leverage  GCP services like Dataflow, Dataproc, Cloud Functions, and Pub / Sub  to handle data ingestion and transformation.
  • 4. Database & SQL Development :

  • Write  complex SQL queries, stored procedures, and functions  to support analytical and operational data needs.
  • Optimize SQL queries for  performance tuning and cost efficiency  in  BigQuery, Cloud SQL, and other relational databases.
  • Ensure proper indexing, partitioning, and clustering strategies for optimal query performance.
  • 5. Cloud & DevOps Integration :

  • Deploy and monitor ETL workflows using  GCP-native tools (Cloud Composer / Airflow, Dataform, Dataflow, Dataprep, etc.).
  • Implement  CI / CD pipelines  for ETL jobs using  Terraform, Cloud Build, GitHub Actions, or Jenkins.
  • Work with Infrastructure and DevOps teams to ensure  secure and reliable deployment of ETL solutions  in a cloud environment.
  • 6. Data Quality & Governance :

  • Implement  data validation, data cleansing, and error-handling mechanisms  in ETL pipelines.
  • Monitor data pipeline performance and ensure  timely resolution of issues and failures.
  • Work with stakeholders to define  data governance policies , metadata management, and access controls.
  • 7. Documentation & Collaboration :

  • Maintain  comprehensive documentation  for ETL workflows, data transformations, and technical design.
  • Collaborate with  data engineers, data analysts, and business teams  to understand data needs and optimize data processing workflows.
  • Conduct  code reviews and provide mentorship  to junior developers when necessary.
  • Required Skills & Qualifications :

    1. Technical Skills :

    ETL Development :

  • Hands-on experience in designing and implementing ETL pipelines.
  • Proficiency in  ETL tools  such as  Apache Airflow (Cloud Composer), Dataflow, or Informatica .
  • SQL & Database Management :

  • Strong expertise in  SQL (DDL, DML, performance tuning, indexing, partitioning, stored procedures, etc.).
  • Experience working with  relational (Cloud SQL, PostgreSQL, MySQL) and NoSQL databases (Bigtable, Firestore, MongoDB, etc.).
  • Cloud (GCP) Expertise :

  • Strong hands-on experience with  Google Cloud Platform (GCP)  services :
  • BigQuery  (data warehousing & analytics)
  • Cloud Storage  (data lake storage)
  • Cloud Composer (Apache Airflow)  (workflow orchestration)
  • Cloud Functions  (serverless ETL tasks)
  • Cloud Dataflow  (Apache Beam-based data processing)
  • Pub / Sub  (real-time streaming)
  • Dataproc  (Hadoop / Spark-based processing)
  • Google Cloud Dataform  (SQL-based transformations for BigQuery)
  • Programming & Scripting :

  • Experience with  Python, SQL scripting, and Shell scripting  for ETL automation.
  • Knowledge of  PySpark or Apache Beam  is a plus.
  • CI / CD & DevOps :

  • Experience in  deploying ETL workflows  using  Terraform, Cloud Build, or Jenkins.
  • Familiarity with  Git / GitHub for version control.
  • Skills Required

    Git Hub, Git, Sql, Python, Terraform

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