Experience
7 - 12 yrs
Job Location
India
Vacancy
1
Designation
ETL Developer
Job Type
Not specified
Job Description
ETL Developer
Experience: 7+ Years
Location: Hybrid / Remote
Working Hours: 11 AM 9 PM
Experience: 7+ Years
Location: Hybrid / Remote
Working Hours: 11 AM 9 PM
Job Summary
We are seeking an experienced ETL Developer with strong expertise in Azure Databricks, Spark, and modern data engineering practices. The ideal candidate will be responsible for building scalable data pipelines, enabling analytics, machine learning, and business intelligence solutions. You will work closely with cross-functional teams to design and implement high-performance data architectures.
Primary Responsibilities
Design and develop ETL/ELT solutions using Azure Databricks, Lakehouse architecture, and Apache Spark
Build and maintain large-scale data pipelines for analytics, ML models, reporting, and data products
Develop optimized and scalable data integration workflows across multiple data sources
Ingest data from diverse sources such as RDBMS, APIs, FTP, and cloud storage in formats like CSV, JSON, XML, Parquet, and unstructured data
Write complex SQL queries and perform performance tuning and optimization
Ensure data quality, integrity, and reliability across pipelines
Contribute to data architecture evolution, standards, and best practices
Collaborate with stakeholders including product, analytics, and engineering teams
Mentor junior data engineers and provide technical guidance
Build and maintain large-scale data pipelines for analytics, ML models, reporting, and data products
Develop optimized and scalable data integration workflows across multiple data sources
Ingest data from diverse sources such as RDBMS, APIs, FTP, and cloud storage in formats like CSV, JSON, XML, Parquet, and unstructured data
Write complex SQL queries and perform performance tuning and optimization
Ensure data quality, integrity, and reliability across pipelines
Contribute to data architecture evolution, standards, and best practices
Collaborate with stakeholders including product, analytics, and engineering teams
Mentor junior data engineers and provide technical guidance
Required Qualifications
7+ years of experience in Data Engineering, ETL/ELT, Data Modeling, and Data Architecture
5+ years of hands-on experience with Python
2+ years of experience with Apache Spark (PySpark / Spark SQL)
2+ years of experience with cloud platforms, especially Azure Databricks, Snowflake, Azure Functions, and Service Bus
Strong expertise in SQL, including query optimization and schema design
Experience with DevOps tools like Terraform
Hands-on experience with CI/CD tools such as GitHub Actions, Git, Artifactory, and SonarQube
7+ years of experience in Data Engineering, ETL/ELT, Data Modeling, and Data Architecture
5+ years of hands-on experience with Python
2+ years of experience with Apache Spark (PySpark / Spark SQL)
2+ years of experience with cloud platforms, especially Azure Databricks, Snowflake, Azure Functions, and Service Bus
Strong expertise in SQL, including query optimization and schema design
Experience with DevOps tools like Terraform
Hands-on experience with CI/CD tools such as GitHub Actions, Git, Artifactory, and SonarQube
Preferred Qualifications
Bachelor s degree in Computer Science, Engineering, Mathematics, or related field
Strong understanding of data architecture concepts such as Data Lake, Delta Lake, and Data Warehousing
Experience in data modeling techniques (SCDs, partitioning, indexing, aggregation strategies)
Exposure to Machine Learning or LLM-based systems is a plus
Strong troubleshooting and performance tuning skills for large-scale systems
Excellent communication and stakeholder management skills
Strong understanding of data architecture concepts such as Data Lake, Delta Lake, and Data Warehousing
Experience in data modeling techniques (SCDs, partitioning, indexing, aggregation strategies)
Exposure to Machine Learning or LLM-based systems is a plus
Strong troubleshooting and performance tuning skills for large-scale systems
Excellent communication and stakeholder management skills
Key Skills
Azure Databricks
Apache Spark (PySpark, Spark SQL)
Python
SQL Optimization
Data Modeling
ETL/ELT Pipelines
CI/CD DevOps
Cloud Data Platforms
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