Jobs

Interviews
Tools

Upskill and Grow with AI

Mock Interview Practice interviews in realistic simulations

Coding Practice Improve your coding skills with challenges

Certification Earn certifications to validate your skills

AI Learning Get trained with AI expert sessions

Career Path AI insights for smarter career decisions

AI Job Match Score AI-Powered Job Match Against Your Resume and Optimize Your Resume

Career Tools and Resources

Resume Builder Build Professional Resume with Ease

ATS Friendliness Check Check Resume Friendliness for Applicant Tracking Systems

Auto Apply Apply to hundreds of jobs on any platform effortlessly

Co-Pilot (Chrome Extension) Your AI Assistant for Seamless Browsing Efficiency

Interview Questions Streamline interviews with ready-to-use questions

Salaries Discover market-driven salary insights across skillsets and geographies

Companies Explore leading companies actively hiring talent
For Employers

Home

Jobs

Home
>
Jobs in Bengaluru
>
Synechron
>
Senior Data Engineer (Databricks, PySpark, SQL, Cloud Data Platforms)

Senior Data Engineer (Databricks, PySpark, SQL, Cloud Data Platforms)

Synechron

8 - 10 years

10 - 12 Lacs

Bengaluru

Posted:15 hours ago| Platform:

Apply

Skills Required

Databricks Azure NoSQL databases GCP Hadoop ecosystem data warehousing AWS ELT processes

Work Mode

Work from Office

Job Type

Full Time

Job Description

Senior Data Engineer (Databricks, PySpark, SQL, Cloud Data Platforms, Data Pipelines)

Job Summary
Synechron is seeking a highly skilled and experienced Data Engineer to join our innovative analytics team in Bangalore. The primary purpose of this role is to design, develop, and maintain scalable data pipelines and architectures that empower data-driven decision making and advanced analytics initiatives. As a critical contributor within our data ecosystem, you will enable the organization to harness large, complex datasets efficiently, supporting strategic business objectives and ensuring high standards of data quality, security, and performance. Your expertise will directly contribute to building robust, efficient, and secure data solutions that drive business value across multiple domains.Software
Required Software & Tools:

Databricks Platform (Hands-on experience with Databricks notebooks, clusters, and workflows)

PySpark (Proficient in developing and optimizing Spark jobs)

SQL (Advance proficiency in writing complex SQL queries and optimizing queries)

Data Orchestration Tools such as Apache Airflow or similar (Experience in scheduling and managing data workflows)

Cloud Data Platforms (Experience with cloud environments such as AWS, Azure, or Google Cloud)

Data Warehousing Solutions (Snowflake highly preferred)

Preferred Software & Tools:

Kafka or other streaming frameworks (e.g., Confluent, MQTT)

CI/CD tools for data pipelines (e.g., Jenkins, GitLab CI)

DevOps practices for data workflows

Programming LanguagesPython (Expert level), and familiarity with other languages like Java or Scala is advantageous

Overall Responsibilities

Architect, develop, and maintain scalable, resilient data pipelines and architectures supporting business analytics, reporting, and data science use cases.

Collaborate closely with data scientists, analysts, and cross-functional teams to gather requirements and deliver optimized data solutions aligned with organizational goals.

Ensure data quality, consistency, and security across all data workflows, adhering to best practices and compliance standards.

Optimize data processes for enhanced performance, reliability, and cost efficiency.

Integrate data from multiple sources, including cloud data services and streaming platforms, ensuring seamless data flow and transformation.

Lead efforts in performance tuning and troubleshooting data pipelines to resolve bottlenecks and improve throughput.

Stay up-to-date with emerging data engineering technologies and contribute to continuous improvement initiatives within the team.

Technical Skills (By Category)
Programming Languages:

EssentialPython, SQL

PreferredScala, Java

Databases/Data Management:

EssentialData modeling, ETL/ELT processes, data warehousing (Snowflake experience highly preferred)

Preferred NoSQL databases, Hadoop ecosystem

Cloud Technologies:

EssentialExperience with cloud data services (AWS, Azure, GCP) and deployment of data pipelines in cloud environments

PreferredCloud native data tools and architecture design

Frameworks and Libraries:

EssentialPySpark, Spark SQL, Kafka, Airflow

PreferredStreaming frameworks, TensorFlow (for data prep)

Development Tools and Methodologies:

EssentialVersion control (Git), CI/CD pipelines, Agile methodologies

PreferredDevOps practices in data engineering, containerization (Docker, Kubernetes)

Security Protocols:

Familiarity with data security, encryption standards, and compliance best practices

Experience

Minimum of 8 years of professional experience in Data Engineering or related roles

Proven track record of designing and deploying large-scale data pipelines using Databricks, PySpark, and SQL

Practical experience in data modeling, data warehousing, and ETL/ELT workflows

Experience working with cloud data platforms and streaming data frameworks such as Kafka or equivalent

Demonstrated ability to work with cross-functional teams, translating business needs into technical solutions

Experience with data orchestration and automation tools is highly valued

Prior experience in implementing CI/CD pipelines or DevOps practices for data workflows (preferred)

Day-to-Day Activities

Design, develop, and troubleshoot data pipelines for ingestion, transformation, and storage of large datasets

Collaborate with data scientists and analysts to understand data requirements and optimize existing pipelines

Automate data workflows and improve pipeline efficiency through performance tuning and best practices

Conduct data quality audits and ensure data security protocols are followed

Manage and monitor data workflows, troubleshoot failures, and implement fixes proactively

Contribute to documentation, code reviews, and knowledge sharing within the team

Stay informed of evolving data engineering tools, techniques, and industry best practices, incorporating them into daily work processes

Qualifications

Bachelor's or Master's degree in Computer Science, Information Technology, or related field

Relevant certifications such as Databricks Certified Data Engineer, AWS Certified Data Analytics, or equivalent (preferred)

Continuous learning through courses, workshops, or industry conferences on data engineering and cloud technologies

Professional Competencies

Strong analytical and problem-solving skills with a focus on scalable solutions

Excellent communication skills to effectively collaborate with technical and non-technical stakeholders

Ability to prioritize tasks, manage time effectively, and deliver within tight deadlines

Demonstrated leadership in guiding team members and driving project success

Adaptability to evolving technological landscapes and innovative thinking

Commitment to data privacy, security, and ethical handling of information

More Jobs at Synechron

Full Stack .Net Developer

Pune, Bengaluru

5 - 10 yrs

INR 15 - 30 Lacs

C++ Developer

Chennai

5 - 9 yrs

INR 14 - 19 Lacs

Business Analyst - Capital Markets

Chennai

6 - 11 yrs

INR 0 - 0 Lacs

Database Developer

Chennai

5 - 10 yrs

INR 0 - 0 Lacs

DevOps Engineer

Pune, Maharashtra, India

8 - 8 yrs

Salary: Not disclosed

Mock Interview

Practice Video Interview with JobPe AI

Start Databricks Interview Now

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

Enhance Your Skills

Practice coding challenges to boost your skills

Start Practicing Now

Synechron

Information Technology and Services

New York

1000+ Employees

401 Jobs

Key People

Faisal Husain

Co-Founder & CEO
Maqbool Kazi

Managing Director
Tariq Khan

Chief Technology Officer

Login to

Please Verify Your Phone or Email

Confirm Action

Search

Profile

Upskill and Grow with AI

Senior Data Engineer (Databricks, PySpark, SQL, Cloud Data Platforms)