Senior Software Developer

Tecsys Inc.

Senior Data Engineer designing and building scalable data pipelines on analytics platform at Tecsys. Collaborating with cross-functional teams to deliver high-quality data solutions and mentoring peers.

Posted 7/15/2026full-timeBengaluru • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates advanced proficiency in SQL and Python for building scalable ETL/ELT pipelines, with a strong focus on data modeling, cloud platforms, and data quality practices. Capable of translating complex business requirements into effective data solutions while collaborating cross-functionally and mentoring junior engineers.

Highest-signal resume keywords

SQL ProficiencyPython ProgrammingETL/ELT Pipeline DevelopmentDatabricks/Spark ExperienceData Lake/Lakehouse Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingIncremental ProcessingQuery OptimizationFeature EngineeringData Quality Checks

Soft Skills

Communication SkillsCollaboration SkillsMentoring

Tools & Technologies

Apache SparkAirflowDockerKubernetesAWS

Industry Keywords

Supply Chain AnalyticsHealthcare AnalyticsData GovernanceData DiscoveryBI Tools

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheAWSAzureBigQueryCloudDockerETLGoogle Cloud PlatformKafkaKubernetesPythonSparkSQLTableau

About the role

Key responsibilities & impact

Design, build, and maintain scalable ETL/ELT pipelines that ingest and transform structured, semi-structured, and unstructured data
Develop high-fidelity data pipelines on Databricks/Spark optimized for reliability, cost, performance, and data freshness
Build curated datasets, embeddings-ready data, feature layers, and semantic abstractions that are AI/ML-consumable for downstream systems
Implement ingestion, transformation, and serving layers across Data Lake / Lakehouse architectures with a focus on efficient retrieval and contextual usability
Develop and maintain robust data models including fact/dimension models, SCDs, wide tables, and CDC pipelines
Apply data versioning, incremental processing, partitioning, and clustering strategies to ensure consistency, reproducibility, and cost efficiency
Contribute to architectural decisions and trade-offs across storage, compute, and orchestration layers within the analytics platform
Help define and uphold data modeling standards, data contracts, and quality frameworks across teams
Prepare high-quality datasets for ML model consumption, feature engineering workflows, and predictive/forecasting use cases
Contribute to a unified semantic layer that standardizes metrics, reusable definitions, and improves data access patterns
Partner with Data Science teams to operationalize feature pipelines and support model training, serving, and monitoring
Implement data quality checks, contracts, and observability to ensure SLA/SLO adherence across pipelines
Work with metadata, lineage, and data discovery frameworks to improve transparency, governance, and trust in data
Drive improvements in pipeline reliability, monitoring, and incident response across the data ecosystem
Partner cross-functionally with Product, Analytics, and Data Science to translate ambiguous business problems into reusable data assets
Mentor junior engineers, review code/designs, and raise the bar for engineering quality and best practices
Communicate technical decisions, trade-offs, and system designs clearly to both technical and non-technical stakeholders

Requirements

What you’ll need

Advanced proficiency in SQL and Python, with strong focus on query optimization, cost efficiency, and large-scale data processing
Hands-on experience with Databricks, Apache Spark, and distributed processing frameworks
Strong experience building ETL/ELT pipelines and workflow orchestration (Airflow, Dagster, or similar)
Solid understanding of Data Lake / Lakehouse architectures, storage formats (Parquet, Delta/Iceberg), partitioning, clustering, and performance tuning
Deep expertise in data modeling: fact/dimension models, SCDs, wide tables, CDC, data versioning, and incremental processing
Experience with event-driven and streaming architectures (Kafka, Pub/Sub, Kinesis) applied pragmatically alongside batch where needed
Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and cloud data warehouses (Snowflake, BigQuery, Redshift)
Familiarity with Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code for data systems
Experience building production-grade data systems with strong data quality, observability, and SLA/SLO practices
Familiarity with metadata management, data lineage, and data discovery tools (e.g., DataHub, OpenMetadata, Amundsen)
Experience enabling AI/ML use cases from a data perspective — preparing datasets, feature stores, embeddings, or semantic/metric layers (dbt, Cube, LookML)
Exposure to BI tools (Power BI, Tableau, Looker) and KPI modeling for business stakeholders
Experience in Supply Chain, Logistics, or Healthcare supply chain analytics is a strong plus
Proven ability to translate ambiguous business requirements into scalable data models and systems
Ownership mindset — drives features end-to-end with strong communication and collaboration skills.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Tecsys Inc. Website LinkedIn All Job Openings 501 - 1000 employees Founded 1983 ☁️ SaaS Healthcare
SaaS
Logistics Tecsys Inc. is a leading provider of supply chain management software and services designed to streamline operations in various industries. Known for its expertise in Warehouse Management Systems (WMS), Tecsys serves sectors including healthcare, distribution, 3PL, retail, and e-commerce. The company's Elite and Omni platforms offer comprehensive solutions for inventory management, transportation management, and order fulfillment. With a focus on healthcare supply chain integration, Tecsys helps organizations achieve high efficiency, cost savings, and improved patient care through innovative technology solutions. Senior Software Developer Job not on LinkedIn 🔥 1 hour ago 🏢🏡 Bengaluru – Hybrid ⏰ Full Time 🟠 Senior 🧑‍💻 Full-stack Engineer Airflow Amazon Redshift Apache AWS Azure BigQuery Cloud Docker ETL Google Cloud Platform Kafka Kubernetes Python Spark SQL Tableau Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Design, build, and maintain scalable ETL/ELT pipelines that ingest and transform structured, semi-structured, and unstructured data
Develop high-fidelity data pipelines on Databricks/Spark optimized for reliability, cost, performance, and data freshness
Build curated datasets, embeddings-ready data, feature layers, and semantic abstractions that are AI/ML-consumable for downstream systems
Implement ingestion, transformation, and serving layers across Data Lake / Lakehouse architectures with a focus on efficient retrieval and contextual usability
Develop and maintain robust data models including fact/dimension models, SCDs, wide tables, and CDC pipelines
Apply data versioning, incremental processing, partitioning, and clustering strategies to ensure consistency, reproducibility, and cost efficiency
Contribute to architectural decisions and trade-offs across storage, compute, and orchestration layers within the analytics platform
Help define and uphold data modeling standards, data contracts, and quality frameworks across teams
Prepare high-quality datasets for ML model consumption, feature engineering workflows, and predictive/forecasting use cases
Contribute to a unified semantic layer that standardizes metrics, reusable definitions, and improves data access patterns
Partner with Data Science teams to operationalize feature pipelines and support model training, serving, and monitoring
Implement data quality checks, contracts, and observability to ensure SLA/SLO adherence across pipelines
Work with metadata, lineage, and data discovery frameworks to improve transparency, governance, and trust in data
Drive improvements in pipeline reliability, monitoring, and incident response across the data ecosystem
Partner cross-functionally with Product, Analytics, and Data Science to translate ambiguous business problems into reusable data assets
Mentor junior engineers, review code/designs, and raise the bar for engineering quality and best practices
Communicate technical decisions, trade-offs, and system designs clearly to both technical and non-technical stakeholders 🎯 Requirements
Advanced proficiency in SQL and Python, with strong focus on query optimization, cost efficiency, and large-scale data processing
Hands-on experience with Databricks, Apache Spark, and distributed processing frameworks
Strong experience building ETL/ELT pipelines and workflow orchestration (Airflow, Dagster, or similar)
Solid understanding of Data Lake / Lakehouse architectures, storage formats (Parquet, Delta/Iceberg), partitioning, clustering, and performance tuning
Deep expertise in data modeling: fact/dimension models, SCDs, wide tables, CDC, data versioning, and incremental processing
Experience with event-driven and streaming architectures (Kafka, Pub/Sub, Kinesis) applied pragmatically alongside batch where needed
Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and cloud data warehouses (Snowflake, BigQuery, Redshift)
Familiarity with Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code for data systems
Experience building production-grade data systems with strong data quality, observability, and SLA/SLO practices
Familiarity with metadata management, data lineage, and data discovery tools (e.g., DataHub, OpenMetadata, Amundsen)
Experience enabling AI/ML use cases from a data perspective — preparing datasets, feature stores, embeddings, or semantic/metric layers (dbt, Cube, LookML)
Exposure to BI tools (Power BI, Tableau, Looker) and KPI modeling for business stakeholders
Experience in Supply Chain, Logistics, or Healthcare supply chain analytics is a strong plus
Proven ability to translate ambiguous business requirements into scalable data models and systems
Ownership mindset — drives features end-to-end with strong communication and collaboration skills. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Senior Software Engineer 🔥 15 hours ago Thomson Reuters 10,000+ employees 💸 Finance 📱 Media ☁️ SaaS Website LinkedIn All Job Openings Senior Python Developer responsible for building data-driven solutions using AWS and Python. Leading projects involving ETL pipelines and AI integrations at Thomson Reuters. 🏢🏡 Bengaluru – Hybrid ⏰ Full Time 🟠 Senior 🧑‍💻 Full-stack Engineer Amazon Redshift AWS ETL Microservices Python SQL Full Stack Software Engineer 🕒 Yesterday NextHop Systems 1 - 10 Website LinkedIn All Job Openings Full Stack Software Engineer contributing to web application development for Nexthop Systems, focusing on AI infrastructure solutions. 🏢🏡 Bengaluru – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 🧑‍💻 Full-stack Engineer Java JavaScript Python RDBMS React Senior Engineer – HPE SAP Delivery 🕒 Yesterday Hewlett Packard Enterprise 10,000+ employees 🏢 Enterprise 🔧 Hardware ☁️ SaaS Website LinkedIn All Job Openings Senior Engineer providing technical support for HPE SAP HANA deployments across the AMS region. Collaborating with cross-functional teams and ensuring customer success through troubleshooting and guidance. 🏢🏡 Bengaluru – Hybrid ⏰ Full Time 🟠 Senior 🧑‍💻 Full-stack Engineer Linux Python Senior Software Engineer, Fullstack Development 🕒 Yesterday A.P. Moller - Maersk 10,000+ employees 🚗 Transport 🛍️ eCommerce Website LinkedIn All Job Openings Senior Software Engineer developing fullstack solutions for Maersk, focusing on Azure PaaS and identity management. Engage in agile software development and collaboration with the Identity team. 🏢🏡 Bengaluru – Hybrid ⏰ Full Time 🟠 Senior 🧑‍💻 Full-stack Engineer Azure Cloud SQL Terraform Senior Engineer – HPE SAP Delivery 🕒 Yesterday Hewlett Packard Enterprise 10,000+ employees 🏢 Enterprise 🔧 Hardware ☁️ SaaS Website LinkedIn All Job Openings Technical support for HPE Solutions for SAP HANA deployments worldwide, focusing on AMS region. Collaborate with cross-functional teams to ensure customer success while providing guidance to junior staff. 🏢🏡 Bengaluru – Hybrid ⏰ Full Time 🟠 Senior 🧑‍💻 Full-stack Engineer Linux Python View More Full-stack Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs