Senior Data Engineer
Senior Data Engineer – Remote (India Offshore)
Experience:
10+ Years Location:
Remote (India Offshore) Job Summary We are looking for an experienced
Senior Data Engineer
to lead and drive enterprise-scale data engineering initiatives. The ideal candidate will have strong expertise in designing and implementing modern data platforms, data warehouses, and data lakes using AWS technologies. This role requires hands-on technical expertise along with leadership capabilities to manage end-to-end data programs, ensure data governance, and collaborate with cross-functional teams to deliver scalable and reliable data solutions. Key Responsibilities Lead the design, development, and implementation of enterprise data engineering and data management projects. Design and build scalable
data warehouses
and
data lake
solutions on AWS. Develop and optimize ETL/ELT pipelines using
PySpark ,
Apache Airflow , and
SQL . Implement and maintain metadata management and data governance frameworks to ensure data quality, security, and compliance. Build and optimize big data processing pipelines for high-volume and complex datasets. Collaborate with business stakeholders, architects, and engineering teams to understand data requirements and deliver effective solutions. Drive the overall data program, ensuring timely delivery, technical excellence, and adherence to best practices. Mentor junior team members and provide technical leadership across the data engineering team. Required Skills 10+ years of experience in Data Engineering and Data Management. Strong expertise in
Data Warehousing
and
Data Lake
architecture. Hands-on experience with
AWS
cloud services. Strong experience with
Apache Airflow ,
PySpark , and
SQL . Experience with
Metadata Management
tools and practices. Strong background in
Big Data
technologies and enterprise-scale implementations. Mandatory experience in
Data Governance
frameworks and best practices. Excellent communication, stakeholder management, and leadership skills. Proven ability to lead enterprise data initiatives and drive cross-functional collaboration.
10+ Years Location:
Remote (India Offshore) Job Summary We are looking for an experienced
Senior Data Engineer
to lead and drive enterprise-scale data engineering initiatives. The ideal candidate will have strong expertise in designing and implementing modern data platforms, data warehouses, and data lakes using AWS technologies. This role requires hands-on technical expertise along with leadership capabilities to manage end-to-end data programs, ensure data governance, and collaborate with cross-functional teams to deliver scalable and reliable data solutions. Key Responsibilities Lead the design, development, and implementation of enterprise data engineering and data management projects. Design and build scalable
data warehouses
and
data lake
solutions on AWS. Develop and optimize ETL/ELT pipelines using
PySpark ,
Apache Airflow , and
SQL . Implement and maintain metadata management and data governance frameworks to ensure data quality, security, and compliance. Build and optimize big data processing pipelines for high-volume and complex datasets. Collaborate with business stakeholders, architects, and engineering teams to understand data requirements and deliver effective solutions. Drive the overall data program, ensuring timely delivery, technical excellence, and adherence to best practices. Mentor junior team members and provide technical leadership across the data engineering team. Required Skills 10+ years of experience in Data Engineering and Data Management. Strong expertise in
Data Warehousing
and
Data Lake
architecture. Hands-on experience with
AWS
cloud services. Strong experience with
Apache Airflow ,
PySpark , and
SQL . Experience with
Metadata Management
tools and practices. Strong background in
Big Data
technologies and enterprise-scale implementations. Mandatory experience in
Data Governance
frameworks and best practices. Excellent communication, stakeholder management, and leadership skills. Proven ability to lead enterprise data initiatives and drive cross-functional collaboration.