EXL
Tech Lead – Data Engineer
We are seeking an accomplished
Tech Lead – Data Engineer
to architect and drive the development of large‑scale, high‑performance data platforms supporting critical customer and transaction‑based systems. The ideal candidate will have a strong background in
data pipeline design ,
Hadoop ecosystem , and
real‑time data processing , with proven experience building data solutions that power digital products and decisioning platforms in a complex, regulated environment.
As a technical leader, you will guide a team of engineers to deliver scalable, secure, and reliable data solutions enabling advanced analytics, operational efficiency, and intelligent customer experiences.
Responsibilities
Lead and oversee the end‑to‑end design, implementation, and optimization of
data pipelines
supporting key customer onboarding, transaction, and decisioning workflows.
Architect and implement
data ingestion, transformation, and storage
frameworks leveraging
Hadoop ,
Avro , and distributed data processing technologies.
Partner with product, analytics, and technology teams to translate business requirements into scalable data engineering solutions that enhance real‑time data accessibility and reliability.
Provide
technical leadership and mentorship
to a team of data engineers, ensuring adherence to coding, performance, and data quality standards.
Design and implement robust data frameworks to support next‑generation customer and business product launches.
Develop best practices for
data governance ,
security , and
compliance
aligned with enterprise and regulatory requirements.
Drive optimization of existing data pipelines and workflows for improved efficiency, scalability, and maintainability.
Collaborate closely with analytics and risk modeling teams to ensure data readiness for predictive insights and strategic decision‑making.
Evaluate and integrate emerging data technologies to future‑proof the data platform and enhance performance.
Must‑Have Skills
8–10 years
of experience in
data engineering , with at least
2–3 years
in a technical leadership role.
Strong expertise in the
Hadoop ecosystem
(HDFS, Hive, MapReduce, HBase, Pig, etc.).
Experience working with
Avro ,
Parquet , or other serialization formats.
Proven ability to design and maintain
ETL / ELT pipelines
using tools such as
Spark ,
Flink ,
Airflow , or
NiFi .
Strong understanding of
data modeling ,
data warehousing , and
data lake
architectures.
Hands‑on experience with
SQL
and both
relational
and
NoSQL
data stores.
Cloud data platform experience with
AWS .
Deep understanding of
data security ,
compliance , and
governance frameworks .
Excellent problem‑solving, communication, and leadership skills.
Company Overview and Culture EXL (NASDAQ: EXLS) is a global analytics and digital solutions company that partners with clients to improve business outcomes and unlock growth. Bringing together deep domain expertise with robust data, powerful analytics, cloud, and AI, we create agile, scalable solutions and execute complex operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Focused on creating value from data for driving faster decision‑making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect. Headquartered in New York, our team is over 40,000 strong, with more than 50 offices spanning six continents. For information, visit www.exlservice.com.
Equal Opportunity EEO/Minorities/Females/Vets/Disabilities
#J-18808-Ljbffr
Tech Lead – Data Engineer
to architect and drive the development of large‑scale, high‑performance data platforms supporting critical customer and transaction‑based systems. The ideal candidate will have a strong background in
data pipeline design ,
Hadoop ecosystem , and
real‑time data processing , with proven experience building data solutions that power digital products and decisioning platforms in a complex, regulated environment.
As a technical leader, you will guide a team of engineers to deliver scalable, secure, and reliable data solutions enabling advanced analytics, operational efficiency, and intelligent customer experiences.
Responsibilities
Lead and oversee the end‑to‑end design, implementation, and optimization of
data pipelines
supporting key customer onboarding, transaction, and decisioning workflows.
Architect and implement
data ingestion, transformation, and storage
frameworks leveraging
Hadoop ,
Avro , and distributed data processing technologies.
Partner with product, analytics, and technology teams to translate business requirements into scalable data engineering solutions that enhance real‑time data accessibility and reliability.
Provide
technical leadership and mentorship
to a team of data engineers, ensuring adherence to coding, performance, and data quality standards.
Design and implement robust data frameworks to support next‑generation customer and business product launches.
Develop best practices for
data governance ,
security , and
compliance
aligned with enterprise and regulatory requirements.
Drive optimization of existing data pipelines and workflows for improved efficiency, scalability, and maintainability.
Collaborate closely with analytics and risk modeling teams to ensure data readiness for predictive insights and strategic decision‑making.
Evaluate and integrate emerging data technologies to future‑proof the data platform and enhance performance.
Must‑Have Skills
8–10 years
of experience in
data engineering , with at least
2–3 years
in a technical leadership role.
Strong expertise in the
Hadoop ecosystem
(HDFS, Hive, MapReduce, HBase, Pig, etc.).
Experience working with
Avro ,
Parquet , or other serialization formats.
Proven ability to design and maintain
ETL / ELT pipelines
using tools such as
Spark ,
Flink ,
Airflow , or
NiFi .
Strong understanding of
data modeling ,
data warehousing , and
data lake
architectures.
Hands‑on experience with
SQL
and both
relational
and
NoSQL
data stores.
Cloud data platform experience with
AWS .
Deep understanding of
data security ,
compliance , and
governance frameworks .
Excellent problem‑solving, communication, and leadership skills.
Company Overview and Culture EXL (NASDAQ: EXLS) is a global analytics and digital solutions company that partners with clients to improve business outcomes and unlock growth. Bringing together deep domain expertise with robust data, powerful analytics, cloud, and AI, we create agile, scalable solutions and execute complex operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Focused on creating value from data for driving faster decision‑making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect. Headquartered in New York, our team is over 40,000 strong, with more than 50 offices spanning six continents. For information, visit www.exlservice.com.
Equal Opportunity EEO/Minorities/Females/Vets/Disabilities
#J-18808-Ljbffr