Sr. Data Engineer
Posted Updated 4
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Summary
Designs, builds, and maintains scalable data pipelines and ETL/ELT processes in an enterprise environment, working heavily with Python, SQL, cloud platforms (AWS/Azure), Spark/PySpark, and orchestration tools like Airflow. Supports batch and real-time processing, data modeling, warehouses, and lakes.
We're Hiring: Sr. Data Engineer!
We are seeking an experienced
Senior Data Engineer
to design, develop, and
maintain
scalable data solutions and pipelines in an enterprise environment. The ideal candidate will have strong hands-on experience in
Python, SQL, cloud platforms, data pipelines, and modern data technologies
, with the ability to work with large and complex datasets. Key Responsibilities Design, develop, and
maintain
scalable
data pipelines and ETL/ELT processes
.
Develop data solutions using
Python and SQL
.
Build and
optimize
data processing and transformation workflows.
Work with cloud-based data platforms and services.
Design and
maintain
data models, data warehouses, and data lakes
.
Support both batch and real-time data processing requirements.
Implement data quality checks, monitoring, and error handling.
Optimize
data pipelines and queries for performance and reliability.
Work closely with Data Architects, Analysts, Developers, and other stakeholders.
Support production issues, troubleshooting, and continuous improvement.
General Qualifications Bachelor's degree in Computer Science
, Information Technology, Engineering, or
a related
field.
8+ years of experience
in Data Engineering or a related data role.
Strong experience working with
enterprise-scale data platforms and applications.
Experience working in Agile and collaborative technical environments.
Mandatory Skills Strong hands-on experience with
Python
.
Strong
SQL
skills, including query optimization and data manipulation.
Experience developing
ETL/ELT data pipelines
.
Experience with
data modelling, data warehousing, and data lakes
.
Hands-on experience with
AWS or Azure
.
Experience with
Apache Spark /
PySpark
or similar distributed data processing technologies.
Experience with data orchestration tools such as
Airflow, Azure Data Factory, or equivalent
.
Experience with
Git and CI/CD
.
Good understanding of
data quality, security, and governance
.
Nice-to-Have Skills Experience with
Databricks or Snowflake
.
Experience with
Kafka
or other streaming technologies.
Experience with
Terraform
or Infrastructure as Code.
Experience with Power BI, Tableau, or other analytics platforms.
Cloud or Data Engineering certifications.
Experience in banking, financial services, or other large enterprise environments.
Eager to make a difference Apply now—let's build the future of data together!
Senior Data Engineer
to design, develop, and
maintain
scalable data solutions and pipelines in an enterprise environment. The ideal candidate will have strong hands-on experience in
Python, SQL, cloud platforms, data pipelines, and modern data technologies
, with the ability to work with large and complex datasets. Key Responsibilities Design, develop, and
maintain
scalable
data pipelines and ETL/ELT processes
.
Develop data solutions using
Python and SQL
.
Build and
optimize
data processing and transformation workflows.
Work with cloud-based data platforms and services.
Design and
maintain
data models, data warehouses, and data lakes
.
Support both batch and real-time data processing requirements.
Implement data quality checks, monitoring, and error handling.
Optimize
data pipelines and queries for performance and reliability.
Work closely with Data Architects, Analysts, Developers, and other stakeholders.
Support production issues, troubleshooting, and continuous improvement.
General Qualifications Bachelor's degree in Computer Science
, Information Technology, Engineering, or
a related
field.
8+ years of experience
in Data Engineering or a related data role.
Strong experience working with
enterprise-scale data platforms and applications.
Experience working in Agile and collaborative technical environments.
Mandatory Skills Strong hands-on experience with
Python
.
Strong
SQL
skills, including query optimization and data manipulation.
Experience developing
ETL/ELT data pipelines
.
Experience with
data modelling, data warehousing, and data lakes
.
Hands-on experience with
AWS or Azure
.
Experience with
Apache Spark /
PySpark
or similar distributed data processing technologies.
Experience with data orchestration tools such as
Airflow, Azure Data Factory, or equivalent
.
Experience with
Git and CI/CD
.
Good understanding of
data quality, security, and governance
.
Nice-to-Have Skills Experience with
Databricks or Snowflake
.
Experience with
Kafka
or other streaming technologies.
Experience with
Terraform
or Infrastructure as Code.
Experience with Power BI, Tableau, or other analytics platforms.
Cloud or Data Engineering certifications.
Experience in banking, financial services, or other large enterprise environments.
Eager to make a difference Apply now—let's build the future of data together!