152 Database Developers jobs in Chennai

Greetings from HCLTECH!

We are hiring for the role Data Engineer, interested candidates please share the resume to

Mode of Interview: In Person Interview (No Virtual Interviews)

Date: 11th October 2025

Location: Sholinganallur, Chennai

Work Location: Chennai, Bangalore, Hyderabad

Role: Azure/ AWS Data Engineer

Experience: 6 Years to 13 Years

Job Description:

1. Pyspark – 4/5
2. Advanced SQL – 4/5
3. DWH experience – 4/5
4. Data modelling – 3/5
5. Azure or AWS – 3/5
6. Synapse or Redshift or Databricks – 3/5
7. ADF or Glue – 3 /5
8. Oracle or SQL Server – 4/5
9. Airflow – 2 /5

Interested candidates, please share the resume to along with the below details

Candidate Name

Number

Email

Total Experience

Relevant Experience

Notice Period

Company

Current Location

Pref Location

Current CTC

Expected CTC

Key Responsibilities

· Data Pipeline Development: Design, develop, and maintain scalable data pipelines to support various data analytics and reporting needs.

· Data Integration: Integrate data from multiple sources and ensure data quality and consistency.

· Data Modelling: Build and optimize data models using Spark to support complex data transformations and analysis.

· SQL Development: Write efficient SQL queries to extract, transform, and load data into data warehouses and other storage solutions.

· Big Data Processing: Utilize big data technologies, especially Apache Spark, to process and analyze large datasets.

· Cloud Services: Implement and manage data solutions on cloud platforms such as Azure, AWS, or GCP.

· Problem Solving: Analyze and resolve data-related issues, ensuring data accuracy and reliability.

· Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.

Required Skills and Qualifications

· Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.

· Experience: 3 to 5 years of experience in data engineering or a related role.

· Programming: Proficient in Python, with experience in data manipulation and automation scripts.

· Big Data: Strong knowledge of big data technologies, especially Apache Spark.

· SQL: Excellent skills in writing and optimizing SQL queries.

· Data Modelling: Experience in data modelling and data architecture, particularly using Spark.

· Cloud Platforms: Hands-on experience with at least one cloud platform (Azure, AWS, GCP).

· Data Analytics Concepts: Solid understanding of data engineering and analytics concepts.

· Problem Solving: Strong problem-solving skills with the ability to troubleshoot data issues effectively.

· Communication: Good communication skills, with the ability to work collaboratively in a team environment.

Preferred Qualifications

· Databricks: Experience with Databricks tool is a plus but not mandatory.

· Certifications: Certifications in Databricks or Azure (or any relevant certifications) are highly

DATA ENGINEER

Who We Are?

Cleantech Industry Resources accelerates United States solar, battery storage and EV projects by providing turnkey development as a service including 100% internal systems engineering. The company deploys a leading team that spun out of the largest solar power producer in the world. This team operates within a sophisticated suite of software to support projects from land origination, through to commercial operation.

Location

Chennai

What We Offer

• Opportunity to join a top-notch, collaborative team of professionals
• Fantastic team environment and collaborative culture
• Professional development opportunities to grow into an industry leader
• Medical Insurance for the employee and family
• Spot Recognition bonus for exceptional performance
• Long Term Incentive policy
• Regular team outings, events, and activities to foster a positive work environment

Our Commitment to Diversity

At CIR, we are dedicated to nurturing a diverse and equitable workforce that truly reflects our community. We deeply value each person’s unique perspective, skills, and experiences. CIR embraces all individuals, regardless of race, religion, sexual orientation, gender identity, age, or nationality. We are steadfast in our commitment to fostering a just and inclusive world through intentional policies and actions. Your individuality enriches our collective strength, and we strive to ensure everyone feels respected, valued, and empowered.

Position Summary

As a Data Engineer, you would be required to take ownership of data infrastructure, pipeline development, and data curation for regulatory, zoning, renewable energy, and geospatial data applications. This role involves handling large-scale datasets related to zoning laws, permitting, environmental regulations, and spatial data, ensuring data quality, and enabling seamless integration with AI/ML models. The ideal candidate will be responsible for designing end-to-end data pipelines, supporting data-driven decision-making, and building and leading a data engineering team as they scale their operations.

Core Responsibilities

Data Engineering & Pipeline Development:

• Design and develop ETL pipelines to collect, clean, and transform regulatory and geospatial datasets.
• Build data ingestion pipelines for integrating zoning laws, permitting data, renewable energy regulations, GIS data, and environmental impact assessments.
• Work with PostGIS, PostgreSQL, and cloud-based storage solutions to manage structured and unstructured data.
• Develop automated data workflows to support AI/ML applications and real-time analytics.
• Ensure scalability, security, and performance of data architecture to handle large and diverse datasets.

Data Curation & Quality Assurance:

• Collect and preprocess zoning regulations, permitting documents, renewable energy policies, environmental impact assessments, and spatial data for AI applications.
• Implement data validation techniques to ensure accuracy and consistency.
• Maintain metadata, lineage tracking, and documentation for all datasets.
• Optimize regulatory and geospatial data storage, indexing, and querying for real-time performance.

Collaboration & Leadership:

• Work closely with AI/ML Engineers to align data structures with machine learning models.
• Collaborate with stakeholders to define data needs, storage strategies, and reporting workflows.
• Take the lead in hiring, training, and managing a data engineering team to scale operations effectively.
• Stay updated with emerging data engineering best practices and implement innovative solutions.

Education Requirements

Master’s or Ph.D. in Computer Science, Data Engineering, GIS, or related fields.

Technical Skills and Experience

Software Proficiency:

• Programming: Python (Pandas, NumPy, SQLAlchemy), SQL.
• Database & Storage: PostgreSQL, PostGIS, NoSQL, Cloud Data Warehouses (BigQuery, Snowflake, Redshift).
• Data Processing: Apache Airflow, Apache Spark, ETL frameworks, data lakes.
• Regulatory & GIS Data Management: Experience with QGIS, GDAL, GeoPandas, Google Earth Engine, and handling zoning/permitting datasets.
• Cloud & Infrastructure: AWS/GCP/Azure (S3, RDS, Lambda, EC2), Docker, Kubernetes.
• Big Data Processing: Experience with distributed computing, real-time data streaming, and indexing techniques.
• Communication: Strong ability to translate complex data requirements into business value.

Project Management:

• Design experience in projects from conception to implementation.
• Ability to coordinate with other engineers and stakeholders.

Renewable Energy Systems:

• Understanding of solar energy systems and their integration into existing infrastructure

Experience

• 2-4 years of experience
• Experience with automating regulatory data processing and AI-driven decision support systems.
• Strong understanding of vector databases, spatial indexing, and knowledge graphs.
• Hands-on experience building data architectures supporting ML/AI applications.

Psychosocial Skills /Human Skills/Behavioural Skills

• Strong analytical, organizational, and problem-solving skills.
• Management experience a plus.
• Must be a go-getter with an enterprising attitude
• A self-starter, able to demonstrate high levels of initiative and motivation
• Entrepreneurial mindset with the ability to take ideas and run with them from concept to conclusion.
• Technical understanding of clean energy business processes
• Exceptional verbal and writing communication skills with superiors, peers, partners, and other stakeholders.
• Excellent interpersonal skills while managing multiple priorities in a fast-paced and ever-changing environment.

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. The physical demands of this job require an individual to be able to work at a computer for most of the day, be able to participate in conference calls and travel to team retreats on a time-to-time basis. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Work Conditions

The work environment is usually quiet (normal city traffic noises are common), a blend of artificial and natural light, temperate and generally supports a collaborative work environment. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Equal Opportunity Employer

At Cleantech Industry Resources, we embrace diversity and uphold a strong dedication to establishing an all-encompassing atmosphere for both our staff and associates. Our choices in employment are free from any bias related to race, creed, nationality, ethnicity, gender, sexual orientation, gender identity, gender expression, age, physical limitations, veteran status, or any other legally safeguarded attributes.

Being an integral part of Cleantech Industry Resources means you can expect to be immersed in a realm of professional possibilities within a culture that nurtures teamwork, adaptability, and the embracing of all.

Dear Candidate,

Greetings from TCS !

TCS is hiring for GCP data engineer, please find the below JD.

Experience range – 6 to 8 years

Location - Bengaluru/Chennai/Gurgaon

Skills Required - GCP BigQuery, Python

Role& Responsibilities –

1. Excellent communication (both oral and written ) and documentation
2. Hands-on experience in the complete eco-system of any one/more of the various Hadoop distributions such as MapR (preferred ) and/or Hortonworks and/or Cloudera and/or Apache Hadoop , with specialization in tools such as Spark (Core and SQL) , Hive and NoSql Databases such as HBase and/or Cassandra and/or MongoDB
3. Hands-on experience in the various services of Google Cloud Platform (GCP ) cloud such as CloudStorage, DataFlow, DataProc, CI/CD, BigQuery , Spanner, BigTable, Composer, Pub/Sub, Hyper-drive, etc…
4. Broader responsibilities include but not limited to analysis, design, development and testing as needed
5. Should be a self-starter, team player, collaborative and should be thorough focusing on the quality of the deliverable and time to market

Job Title: Data Engineer

Experience: 3 to 7 Years

Location: Chennai

Work Mode: Onsite / Hybrid (as applicable)

Job Description:

We are looking for a highly skilled and motivated Data Engineer with 3 to 7 years of experience to join our growing team in Chennai. The ideal candidate will have strong expertise in DBT, Snowflake, CI/CD pipelines , and SQL , with a good understanding of Python (nice to have). This role requires individuals with strong analytical skills, excellent communication, and the ability to work independently and collaboratively.

Key Responsibilities:

• Design, develop, and maintain scalable and efficient data pipelines using DBT and Snowflake .
• Optimize and manage data workflows and transformations for reporting, analytics, and operational use.
• Build and deploy data models and structures aligned with business requirements.
• Integrate and automate data workflows using CI/CD practices.
• Write complex SQL queries to manipulate, clean, and transform data.
• Collaborate with data scientists, analysts, and business teams to understand data requirements.
• Troubleshoot and resolve issues related to data integrity, performance, and scalability.
• Maintain data quality standards, documentation, and best practices.

Mandatory Skills:

• Strong hands-on experience in DBT (Data Build Tool) .
• Proficient in Snowflake cloud data platform.
• Experience with CI/CD tools and deployment pipelines.
• Advanced skills in SQL for data transformation and analysis.
• Familiarity with Python scripting (good to have).
• Good understanding of data warehousing concepts, ETL/ELT frameworks.

Preferred Skills:

• Experience working with version control systems like Git.
• Familiarity with cloud platforms such as AWS, Azure, or GCP (especially Snowflake integrations).
• Exposure to monitoring and logging tools for data pipelines.
• Agile/Scrum development methodology experience.

Interview Process:

1. HackerRank Test – Technical online assessment to evaluate coding and SQL skills.
2. Technical Screening Interview – In-depth discussion on projects, data engineering concepts, tools, and problem-solving approach.
3. Managerial/Communication Round – Evaluation of soft skills, communication, and stakeholder management.

Candidate Profile:

• 3–7 years of relevant experience as a Data Engineer.
• Strong problem-solving and analytical skills.
• Ability to communicate effectively with technical and non-technical stakeholders.
• Self-motivated with a high degree of ownership and accountability.
• Immediate joiners or candidates with a short notice period are highly preferred.

Dear Candidate,

Greetings from TCS !

TCS is hiring for Azure Data Engineer, please find the below JD.

Experience range – 6 to 10 years

Location - Chennai

Skills Required - Azure Databricks, Azure data factory, Azure synapse, Pyspark

Required Competencies:

1) Strong design and data solutioning skills

2) Pyspark hands-on experience with complex transformations and large dataset handling experience

3) Good command and hands-on experience in Python. Experience working with following concepts, packages, and tools,

a. Object oriented and functional programming

b. NumPy, Pandas, Matplotlib, requests, pytest

c. Jupyter, PyCharm and IDLE

d. Conda and Virtual Environment

4) Working experience must with Hive, HBase or similar

5) Azure Skills

a. Must have working experience in Azure Data Lake, Azure Data Factory, Azure Databricks, Azure SQL Databases

b. Azure DevOps

c. Azure AD Integration, Service Principal, Pass-thru login etc.

d. Networking – vnet, private links, service connections, etc.

e. Integrations – Event grid, Service Bus etc.

6) Database skills

a. Oracle, Postgres, SQL Server – any one database experience

b. Oracle PL/SQL or T-SQL experience

Data modelling

Job Responsibilities

• Collaborate with project stakeholders (client) to identify product and technical requirements.
• Develop, implement, and tune large-scale distributed systems and pipelines that process large volume of data
• Write clean, maintainable, and testable code for data workflows.
• Troubleshoot data issues and perform root cause analysis

Must have:

• 3+ years of Hands-on coding experience in PySpark & SQL .
• Excellent verbal and business communication skills.
• Worked on complex SQL Query and has work on query performance optimization

Good to have:

• Experience working on large-scale data warehouse projects; Teradata experience is a plus.
• Experience with ETL tools.
• Experience working with workflow scheduler tools; experience with Apache Airflow is a plus.
• Working experience with Kubernetes , Unix, github

Position: Permanent

Role: Data Engineer

Experience: 5 Years

Location: Chennai / Bangalore /

Work Mode: Hybrid

Key Responsibilities

Data Management

• Develop data mapping specifications and transformation rules

• Perform data cleansing, validation, and reconciliation activities

• Create and execute data conversion scripts and processes

• Document data models, mappings, and migration procedures System Integration

• Configure integrations between Workday and third-party applications

• Develop integration specifications and technical designs

• Troubleshoot integration issues and implement solutions

• Monitor integration performance and implement optimizations Technical Configuration & Development

• Design and implement Snowflake data models optimized for HR analytics

• Create and maintain Snowflake objects (tables, views, stored procedures)

• Develop SQL transformations within Snowflake for reporting requirements

• Configure Workday modules according to design specifications

• Build and maintain business processes, security configurations, and reports

• Develop custom calculations, rules, and business logic

• Create and maintain configuration workbooks and technical documentation

• Participate in system testing, including unit, integration, and regression testing Reporting & Analytics

• Develop reporting solutions using Snowflake as the data source

• Create data visualization dashboards connected to Snowflake

• Build self-service reporting capabilities for HR and business users

• Design and implement metrics and KPIs for HR analytics

• Support data analysis needs throughout the implementation lifecycle

Required Experience & Skills

• 3+ years of experience in HRIS implementation, data management, or system integration

• 2+ years of hands-on experience with Workday/Greenhouse data conversion, integration, or reporting

• Experience with Snowflake or similar cloud data warehouse platforms

• Experience with architecting or working with ELT technologies (such as DBT) and data architectures

• Strong SQL skills and experience with data transformation tools

• Experience with ETL processes and data validation techniques

• Understanding of HR data structures and relationships

• Excellent analytical and problem-solving abilities

• Knowledge of programming languages (Python etc.)

• Experience with data visualization tools

• Understanding of API integration patterns and technologies

• Experience with agile development methodologies

Position: Permanent

Role: Data Engineer

Experience: 5 Years

Location: Chennai / Bangalore /

Work Mode: Hybrid

Key Responsibilities

Data Management

• Develop data mapping specifications and transformation rules
• Perform data cleansing, validation, and reconciliation activities
• Create and execute data conversion scripts and processes
• Document data models, mappings, and migration procedures

System Integration

• Configure integrations between Workday and third-party applications
• Develop integration specifications and technical designs
• Troubleshoot integration issues and implement solutions
• Monitor integration performance and implement optimizations

Technical Configuration & Development

• Design and implement Snowflake data models optimized for HR analytics
• Create and maintain Snowflake objects (tables, views, stored procedures)
• Develop SQL transformations within Snowflake for reporting requirements
• Configure Workday modules according to design specifications
• Build and maintain business processes, security configurations, and reports
• Develop custom calculations, rules, and business logic
• Create and maintain configuration workbooks and technical documentation
• Participate in system testing, including unit, integration, and regression testing

Reporting & Analytics

• Develop reporting solutions using Snowflake as the data source
• Create data visualization dashboards connected to Snowflake
• Build self-service reporting capabilities for HR and business users
• Design and implement metrics and KPIs for HR analytics
• Support data analysis needs throughout the implementation lifecycle

Required Experience & Skills

• 3+ years of experience in HRIS implementation, data management, or system integration
• 2+ years of hands-on experience with Workday/Greenhouse data conversion, integration, or reporting
• Experience with Snowflake or similar cloud data warehouse platforms
• Experience with architecting or working with ELT technologies (such as DBT) and data architectures
• Strong SQL skills and experience with data transformation tools
• Experience with ETL processes and data validation techniques
• Understanding of HR data structures and relationships
• Excellent analytical and problem-solving abilities
• Knowledge of programming languages (Python etc.)
• Experience with data visualization tools
• Understanding of API integration patterns and technologies
• Experience with agile development methodologies