Database developer

OBIEE Developer + ETL Lead

🔹 Experience: 8+ Years

🔹 Location: PAN India

🔹 Work Mode: Work From Office – 5 Days

🔹 Joining: Immediate Joiners Preferred

🔹 Communication: Excellent communication skills required

💼 Key Skills:

• #OBIEE Development

• #ETL / #DataIntegration

• #BIReporting & Analytics

• #ETL Lead / Technical Leadership

• Strong #SQL & #Database Concepts

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.

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 Description:

Skill Set

Informatica, IDMC, Informatica MDM

Experience

4-6 Years

Location

Faridabad, Haryana, India

Work Mode- Hybrid

Job Description

Roles & Responsibilities

• 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.
• Accountable for the Master Data Management, Technical Architecture, providing data modeling solutions and recommendations.
• 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.

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

Role Overview

We are seeking a skilled Senior Data Analyst with substantial hands-on experience in Source System Analysis, data mapping, data modeling, SQL analysis, and integration testing. The ideal candidate will support seamless data flow across business applications, ensure data accuracy, and contribute to system improvements.

Key Responsibilities

• Conduct detailed data mapping between source and target systems, ensuring consistency and accuracy.
• Build and maintain data models to support business processes, reporting needs, and integration workflows.
• Write and optimize SQL queries for data validation, analysis, migration, and troubleshooting.
• Work closely with cross-functional teams to gather data requirements and understand business logic.
• Develop and execute integration test plans, including functional, data validation, and regression testing.
• Support data migration activities, including extraction, transformation, and loading (ETL).
• Monitor and troubleshoot integration issues, ensuring timely resolution.
• Document integration flows, data dictionaries, mapping catalogs, and knowledge artifacts.
• Ensure integration security, data integrity, and compliance with organizational standards.

Required Skills & Qualifications

• 5+ years of experience insource system integrations, data mapping, and system-to-system data workflows.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
• Hands-on experience with data mapping, data modelling, and database schema design.
• Proficiency in SQL (complex joins, stored procedures, performance tuning).
• Experience with ETL tools or integration platforms (Informatica, Boomi, MuleSoft, Talend, Pentaho).
• Strong analytical and problem-solving skills.
• Experience with API-based integrations (REST/SOAP) is a plus.
• Familiarity with testing methodologies for integrations and data validation.
• Ability to work with business users, understand workflows, and translate requirements into technical solutions.

Preferred Qualifications

• Experience with cloud ERP or cloud integration (AWS/Azure/GCP).
• Knowledge of JSON, XML, CSV transformation.
• Exposure to scripting languages (Python, Shell).
• Experience in Agile/Scrum environments.
• Prior involvement in ERP implementation or upgrade projects.

Competencies

• Tech Savvy - Anticipating and adopting innovations in business-building digital and technology applications.
• Self-Development - Actively seeking new ways to grow and be challenged using both formal and informal development channels.
• Action Oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm.
• Customer Focus - Building strong customer relationships and delivering customer-centric solutions.
• Optimize Work Processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.

Why Join Us?

• Be part of a collaborative and agile team driving cutting-edge AI and data engineering solutions.
• Work on impactful projects that make a difference across industries.
• Opportunities for professional growth and continuous learning.
• Competitive salary and benefits package.

Application Details

Ready to make an impact? Apply today and become part of the QX Impact team!