Data Engineer at Technology Industry · Kochi (Cochin) · 5 - 8 years · ₹12L - ₹27L / yr · Posted 25 Mar 2026

Job Description & Specification:
Post Title: Data Engineer
Work Mode: Kochi Onsite - UK Time zone
Role Overview:
We are seeking a talented and experienced Data Engineer to join our team. The ideal candidate will have expertise in technologies such as Metabases, Dbt, Stitch, Snowflake, Avo, and MongoDB. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure to support our analytics and data-driven decision-making processes.
Responsibilities:
- Designing, developing and implementing scalable data pipelines and ETL processes using tools such as Stitch and Dbt to ingest, transform, and load data from various sources into our data warehouse (Snowflake).
- Implement data modeling best practices and standards using Dbt to create and manage data models for reporting and analytics.
- Collaborating with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
- Develop and maintain dashboards and visualizations in Metabases to enable self-service analytics and data exploration for internal teams.
- Building and optimizing ETL processes to ensure data quality and integrity.
- Optimizing data processing and storage solutions for performance, scalability and reliability, leveraging cloud-based technologies.
- Implementing monitoring and alerting systems to proactively identify and address data issues.
- Implementing data quality checks and monitoring processes to ensure the accuracy, completeness, and integrity of data.
- Managing and optimizing databases (like MongoDB for performance and scalability).
- Developing and maintaining documentation, best practices, and standards for data engineering processes and workflows.
- Stay up to date with emerging technologies and trends in data engineering, machine learning, and analytics, and evaluate their potential impact on data strategy and architecture.
Requirements:
- Bachelor's or Master's degree in Computer Science.
- Minimum of 4 years of experience working as a data engineer with expertise in Metabases, Dbt, Stitch, Snowflake, Avo, MongoDB.
- Strong programming skills in languages like Python, and experience with SQL and database technologies (e.g., PostgreSQL, MySQL, MongoDB).
- Hands-on experience with data integration tools (e.g., Stitch), data modeling tools (e.g., Dbt), and BI platforms (e.g., Metabases).
- Experience with cloud platforms such as AWS.
- Strong understanding of data modeling concepts, database design, and data warehousing principles
- Experience with big data technologies and frameworks (e.g., Hadoop, Spark, Kafka) and cloud-based data platforms (e.g., AWS EMR, Azure Databricks, Google BigQuery).
- Familiarity with data integration tools, ETL processes, and workflow orchestration tools (e.g., Apache Airflow, Apache NiFi).
- Excellent problem-solving skills and attention to detail.
- Strong communication skills with the ability to work effectively in a global team environment.
- Experience in the education or Edtech industry is a plus.
- Knowledge of Avo for schema management and versioning will be an added advantage.
- Familiarity with machine learning algorithms, data science workflows, and analytics tools (e.g., TensorFlow, PyTorch, scikit-learn, Tableau).
- Knowledge of distributed computing concepts and containerization technologies.
- Experience with version control systems (e.g., Git) and CI/CD pipelines.
- Certifications in cloud computing (e.g., AWS Certified Developer, Google Cloud Professional Data Engineer) or data engineering (e.g., Databricks Certified Associate Developer) are desirable.
Benefits:
- Competitive salary and bonus structure based on performance and achievement of goals.
- Comprehensive benefits package including medical insurance.
Join us in shaping the future of technology by applying your expertise as a Data Engineer. If you are passionate about driving innovation and delivering impactful solutions, we invite you to be part of our dynamic team. Apply now!!

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Job Summary
We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate should have strong expertise in SQL, Python, Linux, and modern data engineering practices to support data integration, transformation, and analytics.
Key Responsibilities
- Design, develop, and maintain ETL/ELT data pipelines.
- Write efficient and optimized SQL queries for data extraction, transformation, and reporting.
- Develop automation scripts using Python for data processing and workflow optimization.
- Work with Linux environments for deployment, monitoring, and troubleshooting.
- Ensure data quality, integrity, and reliability across data platforms.
- Collaborate with data analysts, software engineers, and business stakeholders to deliver data solutions.
- Monitor, troubleshoot, and optimize data pipelines for performance and scalability.
- Implement best practices for data security, governance, and documentation.
Required Skills
- Strong experience in Data Engineering concepts and ETL/ELT processes.
- Proficiency in SQL, including query optimization and database design.
- Strong programming skills in Python.
- Hands-on experience with Linux commands, shell scripting, and system administration basics.
- Experience with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
- Familiarity with Git/version control.
- Strong analytical and problem-solving skills.
Preferred Skills
- Experience with cloud platforms (AWS, Azure, or GCP).
- Knowledge of Apache Spark, Airflow, Kafka, or similar data engineering tools.
- Experience with data warehousing solutions and big data technologies.
- Understanding of CI/CD pipelines and containerization (Docker/Kubernetes).
Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- Relevant certifications in cloud or data engineering are an added advantage.
About Us
We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable.
Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.
We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life.
Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk.
Our Guiding Principles
These principles define how we work at Incubyte. They are non-negotiable.
Relentless Pursuit of Quality with Pragmatism
We build high-quality systems without losing sight of delivery.
Extreme Ownership
We take responsibility end-to-end for decisions, execution, and outcomes.
Proactive Collaboration
We collaborate closely, challenge each other, and solve problems together.
Active Pursuit of Mastery
We continuously improve our craft and raise our bar.
Invite, Give, and Act on Feedback
We seek, give, and act on feedback to get better every day.
Ensuring Client Success
We act as trusted partners and focus on real outcomes, not just output.
Job Description
This is a remote position.
Experience Level
2+ years of experience in SQL, Python, and Snowflake (or equivalent cloud data warehouse), Azure Cloud services.
Role Overview
If you're a Data Craftsperson who takes pride in clean, well-tested data solutions and believes in the principles of Extreme Programming, we'd love to meet you. At Incubyte, we're a DevOps organization where developers own the entire release cycle — you'll get hands-on experience across data engineering, analytics, cloud infrastructure, and direct client communication. This role sits primarily in data engineering (80%) with a meaningful analytics component (20%), supporting our client's data systems end-to-end.
What You'll Do
- Design, build, and maintain data pipelines and infrastructure using SQL and Python
- Work within Snowflake to build and optimize data models supporting business use cases
- Parse and process structured and semi-structured data (JSON, XML) from varied sources
- Diagnose issues across raw, intermediate, and summary tables
- Build SQL queries to support repeatable analytics use cases based on stakeholder requirements
- Investigate and resolve data quality issues, including time-sensitive or urgent ones
- Identify opportunities to consolidate models and maintain a single source of truth (SSOT)
Requirements
What We're Looking For
- 2+ years of experience with SQL and relational databases, with the ability to understand complex data relationships and transformations (required)
- 2+ years of experience with Python for data engineering tasks (required)
- Experience with Snowflake or an equivalent cloud data warehouse (required)
- Experience working with Snowflake Coco or any other AI tools(required)
- Experience parsing JSON and XML data (a plus)
- A strong eye for data quality and attention to detail
- Knowledge of Git (required)
- Knowledge of Azure cloud services such as Azure Data Factory, Azure Blob Storage, and Azure SQL Database (required)
- Knowledge of data infrastructure/modeling tools like DBT, Fivetran (a plus)
- Experience with BI tools like Power BI(a plus, not core to this role)
- Knowledge of Docker, Linux, Shell/Bash, and virtualization technologies (a plus)
- Knowledge of SSIS packages (a plus)
- Familiarity with CI/CD methodologies
Benefits
Life at Incubyte
We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered.
Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion.
Perks
- Dedicated learning & development budget.
- Sponsorship for conference talks.
- Comprehensive medical & term insurance.
- Employee-friendly leave policies.
- Home Office fund
- Medical Insurance
Urgent Hiring – Senior Data Engineer
We are hiring for a Senior Data Engineer for a reputed product-based company in Pune.
Location: Pune – Magarpatta / Baner
Experience: 7–10 Years
Work Mode: 5 Days WFO
Notice Period: Immediate to 30 Days preferred
What We're Looking For
- 7+ years of hands-on experience in Data Engineering
- 5+ years of experience in Python
- 4+ years of experience in Snowflake
- 5+ years of experience in SQL
- 5+ years of experience with ADF / Fivetran / Matillion or equivalent Data Integration tools
- Hands-on experience with AWS / Azure
- Experience with Airflow or equivalent orchestration tools
- Strong experience in ETL/ELT and Data Pipelines
- Experience with APIs, JSON, XML and Webhooks
- Knowledge of CI/CD, Git and automated testing
- Exposure to dbt or similar transformation tools
- Experience in data pipeline monitoring, troubleshooting and performance optimization
Key Responsibilities
- Design, develop and maintain scalable ETL/ELT data pipelines
- Build batch, real-time and on-demand data processing workflows
- Integrate data from cloud and on-premise sources
- Ensure data quality, reliability, performance and SLA adherence
- Work closely with Data Scientists, Analysts, DevOps and Business teams
- Implement data engineering best practices, CI/CD and automated testing
- Troubleshoot pipeline issues and perform root cause analysis
- Optimize data pipelines and SQL queries for performance and cost efficiency
Why Join?
- Opportunity to work with a reputed product-based organization
- Work on modern data engineering and cloud technologies
- Exposure to large-scale data platforms and business-critical data solutions
- Collaborative and technically strong environment
Interested candidates can share their updated CV for immediate consideration.
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
Immediate Joining
We are looking for a Dedicated Resource on Contract for –
Role: Data Engineer
Experience: 5+ Years
Location: Remote
Duration: 3+ Months
Strong hands-on experience with Snowflake, including writing SQL queries, creating views, stored procedures, and functions.
Good knowledge of AI tools such as Claude.
Experience with ETL tools like Alteryx is good to have.
Power BI experience is good to have.
Strong communication skills.
Location: Hyderabad / Chennai
Experience: 5+ years
Employment type: Full-time, permanent
Work Hours: General Shift
website: www.amazech.com
Qualifications:
- B.E./B.Tech/M.E./M.Tech in Computer Science, Information Technology, Data Science, or related disciplines.
- Strong academic background with relevant industry experience in Data Engineering and Data Warehousing.
Key Responsibilities:
· Design, develop, and maintain scalable data warehouse solutions using Snowflake.
· Write, optimize, troubleshoot, and enhance Snowflake SQL queries with a focus on performance and scalability.
· Develop and support ETL processes using Talend to ensure reliable and efficient data movement.
· Collaborate with business, analytics, and application teams to enable reporting, dashboards, metrics, and data exploration capabilities.
· Perform data analysis and resolve issues across data ingestion, transformation, and reporting pipelines.
· Debug and troubleshoot Python-based data processing scripts and automation workflows.
· Implement best practices for data quality, testing, deployment, and code reviews.
· Work across UI, API, and Data Warehouse layers to support end-to-end data integration and business requirements.
· Monitor, optimize, and maintain data warehouse performance and operational stability.
· Create and maintain technical documentation, data models, and process workflows.
Required Skills and Experience:
· Strong hands-on expertise in Snowflake Data Warehouse.
· Advanced SQL skills with experience handling large-scale datasets.
· Strong understanding of Data Warehousing concepts, dimensional modelling, and data architecture.
· Hands-on experience with Analytical SQL functions, query tuning, and performance optimization.
· Experience developing and maintaining ETL solutions using Talend.
· Proficiency in Python for scripting, debugging, automation, and data processing.
· Experience integrating UI, API, and Data Warehouse workflows.
· Strong problem-solving and analytical skills.
· Experience with testing, code reviews, and deployment best practices.
· Excellent communication and stakeholder management skills.
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 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
1st virtual , 2nd round F2F
Python pyspark, SQL, data engineer
5+yrs
Bang/hyderabad
immediate to 15days.
Strong Data Engineer (AWS) Profile
2
Mandatory (Experience 1) – Must have minimum 6+ years of experience in Data Engineering, with strong experience designing, developing, and maintaining scalable data pipelines and ETL processes.
3
Mandatory (Experience 2) – Must have 3+ years of hands-on experience with AWS data engineering services, particularly S3, AWS Glue, EMR, Lambda, and Redshift.
4
Mandatory (Experience 3) – Must have strong programming experience in Python, Java, or Scala, with hands-on development of data processing and pipeline solutions.
5
Mandatory (Experience 4) – Must have strong expertise in SQL, data warehousing, and database technologies, including experience with both SQL and NoSQL databases.
6
Mandatory (Experience 5) – Must have hands-on experience working with Big Data technologies and distributed data processing, including designing and optimizing large-scale data pipelines.
7
Mandatory (Experience 6) – Must have experience with data pipeline troubleshooting, monitoring, data quality, governance, and security best practices.
8
Mandatory (Education) – B.Tech / B.E./ M.Tech











