Data Developer

Joining

Job Summary:

Data Developer

Key Responsibilities:

• Design, develop, and maintain

  ETL/ELT pipelines

  to ingest, transform, and load data from various sources (structured and unstructured).
• Develop and optimize

  SQL queries

  , stored procedures, views, and functions for data analysis and reporting.
• Work with

  data warehousing

  technologies (e.g., Snowflake, Redshift, BigQuery, Azure Synapse) to support business intelligence solutions.
• Collaborate with data engineers and analysts to implement robust

  data models

  and schemas for analytics.
• Ensure

  data quality

  , consistency, and accuracy through data validation, testing, and monitoring.
• Implement data security, compliance, and governance protocols in alignment with organizational policies.
• Maintain documentation related to data sources, data flows, and business rules.
• Participate in

  code reviews

  , sprint planning, and agile development practices.

Technical Skills Required:

Languages & Tools:

• SQL

  (Advanced proficiency required)

• Python

  or

  Scala

  for data processing
• Shell scripting (Bash, PowerShell)

ETL Tools / Data Integration:

• Apache NiFi, Talend, Informatica, Azure Data Factory, SSIS, or equivalent

Data Warehousing & Databases:

• Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse
• SQL Server, PostgreSQL, Oracle, or MySQL

Cloud Platforms (at least one):

• AWS (Glue, S3, Redshift, Lambda)
• Azure (ADF, Blob Storage, Synapse)
• GCP (Dataflow, BigQuery, Cloud Storage)

Big Data & Streaming (Nice to Have):

• Apache Spark, Databricks, Kafka, Hadoop ecosystem

Version Control & DevOps:

• Git, Bitbucket
• CI/CD pipelines (Jenkins, GitHub Actions)

Qualifications:

• Bachelors or Masters degree in

  Computer Science

  ,

  Information Systems

  , or related field.
• 35 years of professional experience as a Data Developer or Data Engineer.
• Strong problem-solving skills and the ability to work both independently and in a team environment.
• Experience working in Agile/Scrum teams is a plus.
• Excellent communication and documentation skills.

Preferred Certifications (Optional):

• Microsoft Certified: Azure Data Engineer Associate
• AWS Certified Data Analytics Specialty
• Google Cloud Professional Data Engineer