Job Description
Job Title: Data Engineer (Data Warehouse Focus)
Domain: BFSI
Experience: 5-8 Years
Location: Remote
Employment Type: Full-Time
Job Summary
Seeking a Data Engineer with strong expertise in Snowflake, Python, Airflow, and SQL to design, build, and maintain scalable cloud-based data warehouse solutions for BFSI platforms.
Key Responsibilities
Design and develop data warehouse architectures and ETL/ELT pipelines .
Build and orchestrate workflows using Python, SQL, Airflow, PySpark, Kafka, Databricks .
Perform data modeling, validation, and governance in regulated BFSI environments.
Migrate data from legacy systems to AWS/Azure cloud platforms.
Create analytics and reports using Power BI, Tableau, Alteryx .
Collaborate with data science teams to productionize ML features.
Ensure performance, reliability, and operational excellence .
Required Skills
Core: Snowflake, Python, SQL, Airflow
Data & Cloud: Oracle/PostgreSQL/MySQL/SQL Server, AWS (S3, EMR), Azure (ADLS, ADF, Databricks)
Big Data: Kafka, Databricks
BI & Tools: Power BI, Tableau, Alteryx, dbt, Git
Methodology: Agile (Scrum/Kanban)
BFSI Experience
Strong experience in Banking, Financial Services, or Insurance .
Knowledge of financial data models, compliance, security, and regulatory reporting .
Education
MCA / BSc / BE / BTech in Computer Science or related field.
Nice to Have
Exposure to Pandas, NumPy, SciPy
Snowflake or Cloud certifications
Domain: BFSI
Experience: 5-8 Years
Location: Remote
Employment Type: Full-Time
Job Summary
Seeking a Data Engineer with strong expertise in Snowflake, Python, Airflow, and SQL to design, build, and maintain scalable cloud-based data warehouse solutions for BFSI platforms.
Key Responsibilities
Design and develop data warehouse architectures and ETL/ELT pipelines .
Build and orchestrate workflows using Python, SQL, Airflow, PySpark, Kafka, Databricks .
Perform data modeling, validation, and governance in regulated BFSI environments.
Migrate data from legacy systems to AWS/Azure cloud platforms.
Create analytics and reports using Power BI, Tableau, Alteryx .
Collaborate with data science teams to productionize ML features.
Ensure performance, reliability, and operational excellence .
Required Skills
Core: Snowflake, Python, SQL, Airflow
Data & Cloud: Oracle/PostgreSQL/MySQL/SQL Server, AWS (S3, EMR), Azure (ADLS, ADF, Databricks)
Big Data: Kafka, Databricks
BI & Tools: Power BI, Tableau, Alteryx, dbt, Git
Methodology: Agile (Scrum/Kanban)
BFSI Experience
Strong experience in Banking, Financial Services, or Insurance .
Knowledge of financial data models, compliance, security, and regulatory reporting .
Education
MCA / BSc / BE / BTech in Computer Science or related field.
Nice to Have
Exposure to Pandas, NumPy, SciPy
Snowflake or Cloud certifications
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