Data Engineer

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.

Navtech is a premier IT software and services provider. Our mission is to increase public cloud adoption and build cloud-first solutions that become trendsetting platforms of the future.

We have been recognized as the Best Cloud Service Provider by GoodFirms for delivering quality services and results. We strive to innovate and push technology and service boundaries to provide best-in-class technology solutions to our clients globally.

We are a fast-growing company serving clients across the United States, UK and Europe. You will work with a team of talented developers, quality engineers and product managers who are passionate about building impactful technology solutions.

About the Role

We are looking for an experienced Senior SQL Server / SSIS Engineer to design, develop, maintain and optimise database solutions and ETL workflows.

The ideal candidate should have strong hands-on experience with Microsoft SQL Server, SSIS package development, T-SQL programming, database performance tuning and data migration.

You should be comfortable working with existing database systems, troubleshooting complex issues, improving performance and ensuring data integrity, security and availability.

Key Responsibilities

• Design, develop and maintain SQL Server databases, database objects and logical data models.
• Develop, deploy and maintain SSIS packages for ETL processes and data integration.
• Build and optimise complex SQL queries, stored procedures, functions, views and triggers.
• Design and implement data extraction, transformation and loading workflows across multiple systems.
• Perform database migrations, data transformations and validation activities.
• Monitor and troubleshoot SQL Server databases, SSIS packages and SQL Server Agent jobs.
• Identify and resolve performance bottlenecks through query optimisation, indexing and execution plan analysis.
• Handle database administration activities, including upgrades, backups, recovery and maintenance.
• Ensure database performance, security, availability and data integrity.
• Troubleshoot database locking, blocking and resource utilisation issues.
• Collaborate with developers, QA engineers and other stakeholders to understand database requirements.
• Maintain technical documentation for database structures, ETL workflows and processes.
• Provide production support and proactively identify opportunities to improve database performance and reliability.

Who Are We Looking For?

• 6–10 years of experience in SQL Server development and database engineering.
• Strong hands-on experience with Microsoft SQL Server, preferably SQL Server 2016/2017 or above.
• Hands-on experience in developing, deploying and maintaining SSIS packages.
• Strong understanding of ETL processes, data integration and data migration.
• Advanced knowledge of T-SQL, stored procedures, functions, views and triggers.
• Experience in database performance tuning, query optimisation, indexing and execution plans.
• Experience in SQL Server monitoring, troubleshooting and resolving database performance issues.
• Good understanding of SQL Server Agent jobs, database backups, recovery and maintenance.
• Experience resolving database locking conflicts, blocking and resource utilisation issues.
• Knowledge of SQL Server system tables and Dynamic Management Views (DMVs).
• Experience with PowerShell scripting and automation is preferred.
• Exposure to AWS RDS, Azure SQL or other cloud database environments is an advantage.
• Knowledge of PostgreSQL or NoSQL databases is a plus.
• Experience leading or mentoring junior developers is preferred.
• Bachelor's or Master's degree in Computer Science, Software Engineering, IT or a related field.
• Excellent analytical, logical, troubleshooting and communication skills.

Good to Have

• Experience with SSRS or SSAS.
• Knowledge of AWS RDS or Azure SQL.
• Experience with PowerShell scripting.
• Exposure to PostgreSQL or NoSQL databases.
• Relevant Microsoft SQL Server certifications.

Why Navtech?

• Performance reviews and appraisals twice a year.
• Competitive compensation package with additional bonuses and benefits.
• Opportunities to work with renowned clients across the US, UK and Europe.
• Medical insurance coverage for self and immediate family.
• Opportunity to work with a culturally diverse and collaborative team.
• Opportunities for continuous learning and technical growth.

Job Summary

Role Overview

We are looking for an experienced Data Engineer with strong expertise in Python, ETL, Advanced SQL, CI/CD, DevOps, and Data Analytics. The ideal candidate should have hands-on experience designing and developing scalable data pipelines, transforming large datasets, and supporting data-driven applications.

Experience with Google Cloud Platform (GCP) will be an added advantage.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines using Python and SQL.
• Develop complex and optimized SQL queries, stored procedures, and data transformations.
• Build and maintain reliable data integration workflows across multiple data sources.
• Perform data cleansing, validation, transformation, and quality checks.
• Analyze data and provide insights to support business and technical requirements.
• Implement and maintain CI/CD pipelines for data engineering applications.
• Work with DevOps practices and tools to automate deployments, monitoring, and infrastructure processes.
• Troubleshoot data pipeline failures, performance issues, and production incidents.
• Optimize data processing workflows for performance, scalability, and reliability.
• Collaborate with Data Analysts, Data Scientists, Developers, and other stakeholders.
• Follow best practices for version control, testing, documentation, and deployment.
• Contribute to cloud-based data engineering initiatives, preferably on GCP.

Required Skills

• 5–7 years of hands-on experience in Data Engineering.
• Strong programming skills in Python.
• Strong expertise in Advanced SQL and database concepts.
• Hands-on experience with ETL/ELT processes and data pipelines.
• Good understanding of Data Warehousing and Data Modeling concepts.
• Experience with CI/CD practices and tools.
• Strong understanding of DevOps principles, automation, and deployment processes.
• Strong data analytics and problem-solving skills.
• Experience working with large datasets and performance optimization.
• Good understanding of Git/version control and software development best practices.

Good to Have

• Hands-on experience with Google Cloud Platform (GCP).
• Exposure to GCP data services such as BigQuery, Cloud Storage, Dataflow, Composer, or Pub/Sub.
• Experience with containerization/orchestration technologies such as Docker/Kubernetes.
• Experience with workflow orchestration tools such as Airflow.
• Knowledge of cloud-based data architecture and distributed data processing.

Preferred Candidate Profile

• Strong analytical and problem-solving abilities.
• Good communication and stakeholder management skills.
• Ability to work independently as well as in a collaborative team environment.
• Strong ownership of data pipelines and production systems.
• Candidates who can join at short notice are preferred.

Mandatory Skills

 Data Engineer, Python , ETL, GCP, Advanced SQL, Strong Data Analytics skills, CICD, Devops

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

About Solutionara

Solutionara is an AI-led IT Consulting and Technology Services organization delivering enterprise transformation through Cloud, Integration, Data Engineering, Digital Experience, AI, and Enterprise Applications.

Headquartered in the United States with a Global Delivery Center (GDC) in Noida, India, Solutionara partners with enterprise organizations across retail, manufacturing, distribution, consumer goods, and other industries to design, implement, and support scalable technology solutions.

As a rapidly growing consulting organization, we foster a culture of ownership, innovation, collaboration, and continuous improvement, empowering our teams to contribute beyond their immediate responsibilities while delivering exceptional value to our global clients.

Every team member is expected to think like a consultant and business problem solver—understanding client objectives, challenging assumptions when appropriate, leveraging AI responsibly, and continuously identifying opportunities to improve quality, productivity, and customer outcomes.

AI is embedded into how we work, but it is an enabler—not a replacement for expertise, critical thinking, or accountability.

Role Overview

Solutionara is seeking a Senior Data Engineer with strong data engineering and database expertise to design, build, optimize, and support enterprise-scale data solutions.

This is a hands-on engineering position requiring strong SQL, Python, ETL/ELT, database, cloud, and troubleshooting capabilities. The engineer will work closely with technical leads and client stakeholders while taking ownership of major engineering components.

Location: Noida, India – Onsite | Employment Type: Full-Time | Experience: 6–9 Years

Key Responsibilities

Data Engineering

• Design, develop, test, deploy, and support scalable ETL/ELT pipelines.
• Build ingestion and transformation solutions across databases, APIs, files, and enterprise applications.
• Develop high-quality SQL and Python-based data processing solutions.
• Implement batch and incremental data-processing patterns.
• Develop reusable engineering components and frameworks.
• Support complex data migration and transformation activities.
• Perform source-to-target mapping and technical data analysis.
• Implement pipeline logging, monitoring, exception handling, and recovery mechanisms.

Database & Platform Engineering

• Design and optimize relational database schemas and data structures.
• Analyze and improve SQL/query performance.
• Support indexing, partitioning, storage optimization, and database performance.
• Implement appropriate database security and access controls.
• Support database monitoring, availability, backup/recovery, and operational requirements in collaboration with infrastructure/platform teams.
• Troubleshoot database and pipeline performance issues.
• Contribute to cloud data-platform configuration and optimization.

Data Quality

• Implement automated validation and data-quality controls.
• Develop reconciliation processes between source and target systems.
• Identify duplicate, incomplete, inconsistent, and invalid data.
• Implement cleansing, standardization, validation, and exception-management logic.
• Work with technical and business stakeholders to understand and implement business data rules.

Technical Delivery

• Convert technical designs into reliable production solutions.
• Participate in technical design and code reviews.
• Mentor junior/mid-level engineers.
• Support estimation and technical planning.
• Troubleshoot complex production and integration issues.
• Collaborate with technical leads, application teams, DevOps, QA, BI, and client teams.
• Document technical designs, mappings, configurations, operational procedures, and engineering decisions.

Consulting & AI-Led Working

• Understand the business purpose behind assigned engineering requirements.
• Raise risks, assumptions, dependencies, and potential improvements proactively.
• Communicate effectively with client and internal stakeholders.
• Use AI-assisted tools to improve coding, testing, analysis, documentation, and troubleshooting productivity.
• Independently verify AI-generated code and recommendations before implementation.
• Identify opportunities for engineering automation and process improvement.

Required Qualifications

• 6–9 years of experience in data engineering, database engineering, data integration, or related areas.
• Advanced SQL skills.
• Strong hands-on Python experience.
• Strong ETL/ELT development experience.
• Strong relational database knowledge, such as SQL Server, PostgreSQL, Oracle, or equivalent.
• Experience with data modeling and database design.
• Experience with AWS, Azure, or another major cloud platform.
• Experience with modern data technologies such as Databricks, Snowflake, Redshift, Synapse, Glue, ADF, Airflow, dbt, or equivalent.
• Experience with performance tuning and optimization.
• Experience with data validation and reconciliation.
• Strong troubleshooting and analytical skills.
• Ability to take ownership of engineering deliverables with limited supervision.

Preferred Qualifications

• Experience working with enterprise ERP, CRM, PIM, PLM, MES, or related systems.
• Experience with manufacturing, retail, distribution, or consumer-goods data.
• Experience with CI/CD and infrastructure/platform engineering practices.
• Experience with API and event-driven integrations.
• Previous consulting or technology-services experience.

What Success Looks Like

• Pipelines and databases perform reliably at enterprise scale.
• Engineering solutions are maintainable, reusable, and well documented.
• Data issues are detected and addressed systematically.
• Junior engineers receive effective technical guidance.
• Problems are owned through resolution rather than simply escalated.
• Engineering decisions reflect both technical requirements and client business objectives.

Job Description

We are looking for an experienced Data Engineer with strong expertise in Python, ETL, SQL, CI/CD, and DevOps to design, develop, and maintain scalable data pipelines and data processing solutions.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Develop data processing solutions using Python.
• Write complex and optimized SQL queries, stored procedures, and data transformations.
• Build and maintain data ingestion and integration workflows.
• Implement data quality, validation, monitoring, and error-handling processes.
• Develop and maintain CI/CD pipelines for data engineering applications.
• Work with DevOps tools and practices for automated build, deployment, and infrastructure management.
• Collaborate with data analysts, data scientists, software engineers, and business teams.
• Optimize data pipelines for performance, reliability, and scalability.
• Troubleshoot production data issues and ensure timely resolution.
• Follow best practices for version control, code quality, testing, and deployment.

Mandatory Skills

• Python
• ETL
• SQL
• CI/CD
• DevOps
• Git / Version Control
• Strong problem-solving and debugging skills

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

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.

Data Engineer Short Hiring Post

🚨 Hiring: Data Engineer

🔹 Experience: 5–9 Years

🔹 Location: Bangalore / Hyderabad

🔹 Skills: PySpark, Python, SQL, ETL, CI/CD, Data Modeling

🔹 Process: L1 Virtual → L2 F2F Karat Test

🔹 F2F: Bangalore / Hyderabad Location

🔹 Positions: Immediate requirement

⚠️ Note: Candidates must be available for F2F Karat immediately after L1.

#Hiring #DataEngineer #PySpark #Python #SQL #BangaloreJobs #HyderabadJobs #Mphasis #ImmediateJoiners

🚨 WE ARE HIRING – SENIOR DATA ENGINEER | BANGALORE 🚨

Looking for experienced Senior Data Engineers with strong expertise in PySpark, Oracle SQL/PLSQL, and Data Modeling!

🔹 Role: Senior Data Engineer

🔹 Experience: 7+ Years

🔹 Location: Bangalore

🔹 CTC: Up to 26 LPA

🔹 Notice Period: Immediate to 10 Days Preferred

💻 Mandatory Skills

✅ PySpark

✅ Oracle SQL / PL/SQL

✅ Data Modeling & Design / Modernization

✅ Python

✅ ETL

✅ Data Pipelines

⚙️ Good to Have / Ecosystem Skills

✅ Kafka

✅ Hadoop

✅ AWS / Azure / GCP

✅ Git

✅ JIRA

📌 Key Responsibilities

• Develop and maintain scalable data pipelines using PySpark

• Work extensively with Oracle SQL/PLSQL for data processing and transformation

• Design and implement data models and data architecture

• Work on data design and modernization initiatives

• Develop and optimize ETL processes and data pipelines

• Handle large volumes of data using PySpark and Python

• Work with technologies such as Kafka, Hadoop, and Cloud platforms

• Collaborate with cross-functional teams to deliver scalable data solutions

• Use Git and JIRA for version control and project tracking

📩 Interested candidates can share their updated CV along with:

Total Experience:

Relevant PySpark Experience:

Relevant Oracle SQL/PLSQL Experience:

Data Modeling Experience:

Current Location:

Notice Period:

Current CTC:

Expected CTC:

#Hiring #DataEngineer #SeniorDataEngineer #PySpark #Oracle #PLSQL #DataModeling #Python #ETL #DataPipelines #Kafka #Hadoop #AWS #Azure #GCP #BangaloreJobs #ITJobs #TechJobs #ImmediateJoiners