Lead / Senior Data Engineer

Fission Labs; Hyderabad; On-site; INR 4,000,000 - 6,000,000; Full time

Benefits offered by this job

Health insurance

Flexible work hours

Retirement benefits

Job summary

Fission Labs, a data-driven software company with offices in Hyderabad, leads in data engineering, cloud-native pipelines, and scalable analytics. The Senior Data Engineer will design and manage robust data infrastructure, mentor teams, and collaborate across data science and analytics groups to deliver reliable data solutions.

The position emphasizes Databricks, AWS, and modern data tooling, with a focus on governance, security, and performance across data lakes and warehouses.

Qualifications

• Bachelor's or master's degree in Computer Science, Engineering, or related field.
• 5+ years in data engineering with at least 2 years in a leading project.
• Strong proficiency in Python, PySpark, and SQL.
• Extensive experience with Databricks and AWS cloud services.
• Hands-on experience with Airflow for workflow orchestration.
• Familiarity with FastAPI for building high-performance APIs.
• Experience with columnar databases like Rockset, Clickhouse, and CrateDB.
• Knowledge of data governance, security, and compliance best practices.

Responsibilities

• Lead the design, development, and maintenance of data pipelines and ETL processes using Databricks and AWS.
• Optimize data storage and retrieval systems using Rockset, Clickhouse, and CrateDB.
• Develop and maintain data APIs using FastAPI.
• Orchestrate and automate data workflows using Airflow.
• Collaborate with data scientists and analysts to support data needs.
• Mentor junior data engineers and promote best practices.
• Ensure data quality, security, and compliance across data systems.

Skills

Python

PySpark

SQL

Databricks

AWS

Airflow

FastAPI

Data modeling

Data warehousing

Git

Education

Bachelor's or Master's in CS/Engineering

Tools

Databricks Unity Catalog

Rockset

Clickhouse

CrateDB

Job description

Fission Labs, Headquartered in Sunnyvale, with offices in Dallas & Hyderabad, Fission Labs is a leading software development company, specializing in crafting flexible, agile, and scalable solutions that propel businesses forward. With a comprehensive range of services, including product development, cloud engineering, big data analytics, QA, DevOps consulting, and AI/ML solutions, we empower clients to achieve sustainable digital transformation that aligns seamlessly with their business goals.

Role Overview

Senior Data Engineer is responsible for overseeing the design, development, and management of data infrastructure and pipelines within an organization. This role involves a mix of technical leadership, project management, and collaboration with other teams to ensure the efficient collection, storage, processing, and analysis of large datasets. The Lead Data Engineer typically manages a team of data engineers, architects, and analysts, ensuring that data workflows are scalable, reliable, and meet the business’s requirements.

Responsibilities

• Lead the design, development, and maintenance of data pipelines and ETL processes architect and implement scalable data solutions using Databricks and AWS.
• Optimize data storage and retrieval systems using Rockset, Clickhouse, and CrateDB.
• Develop and maintain data APIs using FastAPI.
• Orchestrate and automate data workflows using Airflow.
• Collaborate with data scientists and analysts to support their data needs.
• Ensure data quality, security, and compliance across all data systems.
• Mentor junior data engineers and promote best practices in data engineering.
• Evaluate and implement new data technologies to improve the data infrastructure.
• Participate in cross-functional projects and provide technical leadership.
• Manage and optimize data storage solutions using AWS S3, implementing best practices for data lakes and data warehouses.
• Implement and manage Databricks Unity Catalog for centralized data governance and access control across the organization.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• 5+ years of experience in data engineering, with at least 2 years in a leading project
• Strong proficiency in Python, PySpark, and SQL
• Extensive experience with Databricks and AWS cloud services
• Hands-on experience with Airflow for workflow orchestration
• Familiarity with FastAPI for building high-performance APIs
• Experience with columnar databases like Rockset, Clickhouse, and CrateDB
• Solid understanding of data modeling, data warehousing, and ETL processes
• Experience with version control systems (e.g., Git) and CI/CD pipelines
• Excellent problem-solving skills and ability to work in a fast-paced environment
• Strong communication skills and ability to work effectively in cross-functional teams
• Knowledge of data governance, security, and compliance best practices
• Proficiency in designing and implementing data lake architectures using AWS S3
• Experience with Databricks Unity Catalog or similar data governance and metadata management tools

Nice To Have

• Experience with real-time data processing and streaming technologies
• Familiarity with machine learning workflows and MLOps
• Certifications in Databricks, AWS
• Experience implementing data mesh or data fabric architectures
• Knowledge of data lineage and metadata management best practices

Databricks, Python, PySpark, SQL, Airflow, FastAPI, AWS (S3, IAM, ECR, Lambda), Rockset, CLickhouse, CrateDB

You Would Enjoy

• Opportunity to work on business challenges from top global clientele with high impact
• Vast opportunities for self-development, including online university access and sponsored certifications.
• Sponsored Tech Talks, industry events & seminars to foster innovation and learning.
• Generous benefits package including health insurance, retirement benefits, flexible work hours, and more.
• Supportive work environment with forums to explore passions beyond work.