Snaplogic ETL Developer at Lorven technologies Inc · Remote only · 5 - 10 years · ₹2L - ₹13L / yr (ESOP available) · Profitable · Remote only · Posted 2 Sep 2025

Role Overview
We are seeking a skilled and highly motivated ETL Developer to fill a key role working on distributed team, in a dynamic fast-paced environment. This project is an enterprise-wide distributed system with users worldwide.
This hands-on role requires the candidate to work collaboratively in a squad following a Scaled Agile development methodology. You must be a self-starter, delivery-focused, and possess a broad set of technology skills.
We will count on you to:
- Designs, codes, tests and debugs new and existing software applications primarily using ETL technologies and relational database languages.
- Excellent documentation and presentation skills, analytical and critical thinking skills, and the ability to identify needs and take initiative
- Proven expertise working on large scale enterprise applications
- Working on Agile/Scrum/Spotify development methodology
- Quickly learn new technologies, solve complex problems and be able to ramp up on new projects quickly.
- Communicate effectively and be able to review ones work as well as others with a particular attention to accuracy and detail.
- The candidate must demonstrate a great knowledge of ETL technology and be able to work effectively on distributed components.
- Investigate research and correct defects effectively and efficiently.
- Ensure code meets specifications, quality and security standards, and is maintainable
- Complete work within prescribed standards and follow prescribed workflow process.
- Unit test software components efficiently and effectively
- Ensure that solution requirements are gathered accurately, understood, and that all stakeholders have transparency on impacts
- Follow engineering best practices and principles within your organisation
- Work closely with a Lead Software Engineer
- Build strong relationships with members of your engineering squad
What you need to have:
- Proven track record of successfully delivering software solutions
- The ability to communicate effectively to both technical and non-technical colleagues in a cross-functional environment
- Some experience or knowledge of working with Agile at Scale, Lean and Continuous Delivery approaches such as Continuous Integration, Test-Driven Development and Infrastructure as Code
- Some experience with cloud native software architectures
- Proven experience in the remediation of SAST/DAST findings
- Understanding of CI/CD and DevOps practices
- Strong Self-starter and active squad contributor
Technical Skills or Qualifications Required:
Mandatory Skills:
- Strong ETL Skills: Snap logic
- Expertise on Relational Databases Oracle, SSMS and familiar with NO SQL DB MongoDB
- Knowledge of data warehousing concepts and data modelling
- Experience of performing validations on large-scale data
- Strong Rest API ,JSON’s and Data transformations experience
- Experience with Unit Testing and Integration Testing
- Knowledge of SDLC processes, practices, and experience with some or all of: Confluence, JIRA, ADO, Github etc.

About Lorven technologies Inc
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Hiring: ETL Developer – Hadoop & PySpark
Location: Bangalore
Experience: 6–10 Years
Budget: 25–30 LPA
Work Mode: Weekdays
Job Description
We are looking for an experienced ETL Developer with strong expertise in Hadoop, PySpark, Python, and SQL to design, develop, and optimize data processing and transformation solutions. The ideal candidate should have hands-on experience working with big data technologies, building scalable ETL pipelines, and managing data for data warehousing and analytics.
Key Responsibilities
- Design, develop, and maintain scalable ETL pipelines for large-scale data processing.
- Develop data transformation workflows using PySpark and Python.
- Work with Hadoop and other big data technologies to process and manage large datasets.
- Write complex SQL queries for data extraction, transformation, validation, and analysis.
- Implement data cleansing, data quality checks, and data validation processes.
- Develop and optimize data integration workflows for data warehousing solutions.
- Troubleshoot ETL failures, performance issues, and data discrepancies.
- Optimize PySpark jobs and SQL queries for performance and scalability.
- Collaborate with data engineers, architects, analysts, and other stakeholders to deliver reliable data solutions.
- Ensure data accuracy, consistency, and adherence to established data governance standards.
Mandatory Skills
- Strong hands-on experience in ETL development.
- Good experience with Hadoop and big data technologies.
- Proficiency in PySpark and Python programming.
- Strong SQL skills, including complex queries and data manipulation.
- Experience in data processing, data transformation, and data integration.
- Understanding of data warehousing concepts and architecture.
- Experience in developing, debugging, and optimizing ETL pipelines.
Required Experience
- 6–10 years of relevant experience in ETL development and data engineering.
- Practical experience handling large datasets using Hadoop and PySpark.
- Strong analytical, problem-solving, and troubleshooting skills.
- Ability to work independently and collaborate effectively within a team.
Interested candidates can share their updated resumes along with current CTC, expected CTC, notice period, and total relevant experience.
Position: Backup Data ETL Developer
Experience: 6–9 Years
Location:Mumbai
Employment Type: Full-time
Job Description:
We are looking for a Backup Data ETL Developer with 6–9 years of experience in designing, developing, and supporting data extraction, transformation, and loading (ETL) processes.
The candidate should have strong hands-on experience with Hadoop, Spark, Informatica, and Snowflake, along with expertise in large-scale data processing and data integration technologies.
Key Skills:
Hadoop
Spark
Informatica
Snowflake
ETL Development
Data Integration
Data Transformation
Large-Scale Data Processing
ETL Workflows and Data Pipelines
Troubleshooting and Problem-Solving
Strong analytical and collaboration skills
Job Description
We are looking for an experienced ETL Developer with strong expertise in ETL development, Hadoop, PySpark, Python, and SQL. The candidate should have hands-on experience in developing data pipelines, processing and transforming large datasets, and working with data warehousing and big data technologies.
Key Responsibilities
- Design, develop, and maintain ETL processes and data pipelines.
- Work with Hadoop and PySpark to process and transform large volumes of data.
- Develop and optimize Python scripts for data processing and automation.
- Write complex SQL queries for data extraction, transformation, and validation.
- Perform data cleansing, integration, transformation, and validation.
- Work with data warehousing concepts and large-scale data processing systems.
- Optimize ETL workflows for performance, scalability, and reliability.
- Troubleshoot data pipeline failures and resolve data quality issues.
- Collaborate with data engineers, analysts, and other technical teams.
- Follow data governance, quality, and development best practices.
Required Skills
- Strong experience in ETL Development – Mandatory
- Hands-on experience with Hadoop – Mandatory
- Strong experience in PySpark – Mandatory
- Good programming skills in Python – Mandatory
- Strong knowledge of SQL – Mandatory
- Experience in Data Processing and Transformation – Mandatory
- Knowledge of Data Warehousing – Mandatory
- Experience with Big Data Technologies – Mandatory
Opportunity Details
Role: ETL Developer – Hadoop & PySpark
Experience: 6–10 Years
Location: Bangalore
Mandatory Skills
ETL Development | Hadoop | PySpark | Python | SQL | Data Processing & Transformation | Data Warehousing | Big Data Technologies
Dear Candidate,
Thanks for showing interest in the opportunity!!!
As discussed, we have an opening for ETL Developer – Hadoop & PySpark with Mphasis for the Bangalore location – Permanent.
Job Description:
We are looking for an experienced ETL Developer with strong expertise in ETL development, Hadoop, and PySpark. The candidate should have hands-on experience in data processing, building and maintaining ETL pipelines, data transformation, and handling large datasets using Big Data technologies.
Primary & Mandatory Skills:
- ETL Development
- Hadoop / HDFS
- PySpark / Apache Spark
- Data Extraction, Transformation & Loading
- SQL and Data Processing
Good to Have:
- Hive / Spark SQL
- Data Pipeline Development
- Big Data Processing
- Python Programming
Company: Mphasis
Role: ETL Developer – Hadoop & PySpark
Experience: As per requirement
Location: Bangalore
Employment Type: Permanent
Job Title: Java + Apache Spark Developer
Experience: 5–10 Years
Location: Mumbai
Work Mode: Hybrid (3 Days WFO)
Job Description:
Looking for hands-on Java Developers with strong experience in Apache Spark and distributed data processing. Candidates should have experience building and optimizing data pipelines, working with Spark SQL, and using Snowflake or Databricks for enterprise data engineering solutions.
Mandatory Skills:
Java, Apache Spark, Spark SQL, Snowflake / Databricks, SQL, ETL.
Shift: Second Shift (2:00 PM – 10:00 PM)
Joining: Immediate
About the Role
We are looking for an experienced Data Integration Developer with strong hands-on expertise in SQL, Python, ETL development, Snowflake, and AWS data services.
The ideal candidate should have extensive experience in designing, developing, and maintaining data integration solutions, building data warehouse architectures, and implementing scalable ETL pipelines. Strong SQL development and performance optimization skills are essential for this role.
This is a remote position; however, candidates must be available to visit our Mumbai or Bangalore location for three days during the onboarding process.
Key Responsibilities
SQL Development & Performance Optimization
- Develop complex SQL queries, stored procedures, and data transformation logic.
- Optimize SQL queries for performance, scalability, and efficiency.
- Perform advanced data analysis, validation, and reconciliation.
- Troubleshoot complex SQL and data-related issues.
ETL Development & Data Integration
- Design, develop, and maintain ETL pipelines and data integration workflows.
- Work with SQL and Python for data extraction, transformation, and loading.
- Ensure data accuracy, consistency, and integrity across systems.
- Identify and resolve data pipeline failures and integration issues.
Data Warehousing & Data Modeling
- Design and maintain data warehouse architectures.
- Develop data warehouse schemas based on business requirements.
- Work on dimensional data modeling, including Facts and Dimensions.
- Implement Slowly Changing Dimensions (SCD).
- Support data analysis and business information reconciliation.
Snowflake & AWS
- Develop and manage data solutions using Snowflake.
- Work with AWS services, particularly Amazon S3.
- Manage AWS connections and data access configurations.
- Build and maintain cloud-based data integration solutions.
Python & Apache Airflow
- Develop data processing and automation solutions using Python.
- Build, schedule, and monitor workflows using Apache Airflow.
- Troubleshoot workflow failures and improve pipeline reliability.
Agile & Development Lifecycle
- Participate in Agile development processes, sprint planning, and team discussions.
- Contribute throughout all stages of the software development lifecycle.
- Collaborate with cross-functional teams to understand business and technical requirements.
- Perform root cause analysis and implement appropriate corrective actions.
Required Skills
- Advanced SQL – Strong hands-on expertise is mandatory.
- Python Development
- ETL Development and Data Integration
- Snowflake
- Apache Airflow
- AWS Services, particularly Amazon S3
- AWS Connection Management
- Data Warehouse Architecture
- Data Modeling (Facts & Dimensions)
- Slowly Changing Dimensions (SCD)
- SQL Query Optimization and Performance Tuning
- Data Analysis and Reconciliation
- Troubleshooting and Root Cause Analysis
- Agile Development Methodologies
- Strong understanding of the Software Development Life Cycle (SDLC)
Experience & Qualifications
- 8–10 years of overall experience in Data Engineering / Data Integration / ETL Development.
- Strong professional experience in advanced SQL and Python.
- Hands-on experience with Snowflake, Apache Airflow, and AWS.
- Proven experience designing and developing data warehouse solutions.
- Experience working across the complete product development lifecycle.
- Ability to independently troubleshoot complex technical challenges.
Additional Requirements
- Immediate joiners preferred.
- Must be comfortable working in the second shift (2:00 PM – 10:00 PM).
- Position is remote, with a mandatory three-day onboarding visit to Mumbai or Bangalore.
- Strong communication, analytical, and problem-solving skills.
- Ability to work independently and collaboratively in an Agile environment.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
OBIEE Developer + ETL Lead
🔹 Experience: 8+ Years
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🔹 Work Mode: Work From Office – 5 Days
🔹 Joining: Immediate Joiners Preferred
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💼 Key Skills:
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• #ETL / #DataIntegration
• #BIReporting & Analytics
• #ETL Lead / Technical Leadership
• Strong #SQL & #Database Concepts
Job Description:
Skill Set
Informatica, IDMC, Informatica MDM
Experience
4-6 Years
Location
Faridabad, Haryana, India
Work Mode- Hybrid
Job Description
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- Lead project team members through all activities required to successfully deliver Informatica.
- Define technical specifications for workflows and business rules.
- Prepare detailed design documents for data migration.
- Configure, build and unit test Informatica components, including data structures, roles, workflows, and portals.
- Train and mentor colleagues in Informatica implementation activities and best practices.
- Support integration, system, and user acceptance testing.
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- Profile & Analyze Source Data usage using ETL tool.
- Automation, job scheduling, dependencies, monitoring.
- Configure/Script Business rules and transformation rules in ETL
- Data pipeline using IICS
- Hands on experience in Informatica MFT, Data Exchange (DX),and Data Transform (DT) modules
- Integration experience using various adapters (MLLP, SOAP, REST, SFTP, ODBC) will be essential.
- Strong knowledge and experience with developing complex SQL Queries, stored procedures, and triggers for RDBMS systems.
- Experience in administering, supporting, and performance tuning using Informatica.
Job Title : Data Platform Engineer (SDE 2 / SDE 3)
Experience : 3 to 8 Years (SDE2 : 3 to 5 Years | SDE3 : 5.5 to 8 Years)
Location : Remote (Contract) → Pune (Post Conversion)
Employment Type : Contract-to-Hire (3 Months)
Mandatory Skills :
Java / Python / Go, SQL, Data Engineering, ETL / ELT, Apache Airflow, Apache Spark / Flink, Kafka, AWS/GCP/Azure, Distributed Systems, API Development, Docker, Kubernetes, CI/CD, System Design
Role Overview :
We are looking for a Data Platform Engineer with strong backend engineering expertise to build scalable, high-performance data platforms and distributed systems. The ideal candidate should have hands-on experience in developing production-grade backend applications along with designing and maintaining modern data pipelines.
Key Responsibilities :
- Build and maintain scalable ETL/ELT and data processing pipelines.
- Develop backend services and APIs using Java (preferred), Python, or Go.
- Design batch and real-time data pipelines using Spark, Flink, Kafka, and Airflow.
- Optimize SQL queries, data models, and distributed data systems.
- Work with cloud platforms (AWS, GCP, or Azure) and container technologies (Docker, Kubernetes).
- Implement CI/CD, monitoring, logging, and performance optimization.
- Collaborate with product and engineering teams on scalable system design and architecture.
Required Qualifications :
- SDE 2 : 3 to 5 years of Backend + Data Engineering experience.
- SDE 3 : 5.5 to 8 years of Backend + Data Engineering experience.
- Strong coding skills in Java (preferred), Python, or Go.
- Excellent SQL and data modeling knowledge.
- Hands-on experience with Airflow, Apache Spark / Apache Flink, or similar technologies.
- Experience building scalable backend services and APIs.
- Good understanding of distributed systems, system design. and scalable architecture.
- Experience with cloud platforms (AWS, Azure, or GCP).
- Hands-on experience with Docker and Kubernetes.
- Strong understanding of CI/CD pipelines.
- Excellent problem-solving and debugging skills.
Good to Have :
- Experience with Snowflake, BigQuery, or Redshift.
- Understanding of Kafka, Kinesis, or Pub/Sub
- Performance optimization of large-scale distributed systems
- FinTech or high-scale distributed systems experience.
- Knowledge of data governance, security, and compliance.
Preferred Candidate Profile :
- Strong Backend + Data Engineering experience
- Experience building scalable production systems
- Strong ownership mindset
- Good system design knowledge
- Experience processing millions of events using Kafka/Spark
- Built APIs supporting data infrastructure
- Production engineering experience
Interview Process :
- Take-home Coding Assignment (48 Hours)
- Leadership & Strategy Round (1 Hour)
- Technical Depth – Data Engineering & Performance (1 Hour)
- Culture & Values Fit (30 Minutes)
- Deployment and Integration: Develop and launch production-ready integrations, microservices, ETL pipelines, and API adapters that seamlessly embed our platform into client ecosystems, encompassing ERPs, CRMs, legacy databases, and message brokers.











