Saransh Inc · 6 hours ago
Senior Data Engineer
Saransh Inc is seeking a Senior Data Engineer to design and build scalable data pipelines. The role involves integrating diverse data sources and optimizing storage and processing using the Hadoop ecosystem and Greenplum, while ensuring data quality and compliance.
EmploymentInformation TechnologyStaffing Agency
Responsibilities
Designs and builds scalable data pipelines, integrates diverse sources, and optimizes storage/processing using Hadoop ecosystem and Greenplum
Ensures data quality, security, and compliance through governance frameworks
Implements orchestration, monitoring, and performance tuning for reliable, cost-efficient operations
Expertise in Hadoop ecosystem (HDFS, Hive, Spark, Kafka) and MPP databases like Greenplum for large-scale data processing and optimization
Collaborates with Data Owners and stakeholders to translate business rules into technical solutions
Delivers curated datasets, lineage, and documentation aligned with SLAs and regulatory standards
Subject mater expert having experience of interacting with client, understanding the requirement and guiding the team
Documenting the requirements clearly with defined scope and must play an anchor role in setting the right expectations and delivering as per the schedule
Design and develop scalable data pipelines using Hadoop ecosystem and Greenplum for ingestion, transformation, and storage of large datasets
Optimize data models and queries for performance and reliability, ensuring compliance with security and governance standards
Implement data quality checks, monitoring, and orchestration workflows for timely and accurate data delivery
Collaborate with Data Owners and business teams to translate requirements into technical solutions and maintain documentation and lineage
Qualification
Required
Strong work experience in Agile environment
Experience as a Data Engineer (Big Data – Hadoop, Greenplum, etc.)
Designs and builds scalable data pipelines
Integrates diverse sources and optimizes storage/processing using Hadoop ecosystem and Greenplum
Ensures data quality, security, and compliance through governance frameworks
Implements orchestration, monitoring, and performance tuning for reliable, cost-efficient operations
Expertise in Hadoop ecosystem (HDFS, Hive, Spark, Kafka)
Experience with MPP databases like Greenplum for large-scale data processing and optimization
Collaborates with Data Owners and stakeholders to translate business rules into technical solutions
Delivers curated datasets, lineage, and documentation aligned with SLAs and regulatory standards
Subject matter expert with experience interacting with clients, understanding requirements, and guiding the team
Documents requirements clearly with defined scope
Plays an anchor role in setting the right expectations and delivering as per the schedule
Designs and develops scalable data pipelines using Hadoop ecosystem and Greenplum for ingestion, transformation, and storage of large datasets
Optimizes data models and queries for performance and reliability, ensuring compliance with security and governance standards
Implements data quality checks, monitoring, and orchestration workflows for timely and accurate data delivery
Collaborates with Data Owners and business teams to translate requirements into technical solutions and maintain documentation and lineage
Company
Saransh Inc
We provide recruitment, consulting and IT services for our clients, which focus on maximizing their revenue generation, enhancing business productivity and improving cost management.
H1B Sponsorship
Saransh Inc has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (35)
2024 (51)
2023 (45)
2022 (30)
2021 (22)
2020 (39)
Funding
Current Stage
Growth StageCompany data provided by crunchbase