Data Lead at Blue Sky Analytics · Remote only · 5 - 10 years · ₹8L - ₹25L / yr · Raised funding · Remote only · Posted 25 Nov 2021
Python
Data ScienceAbout the Company
Blue Sky Analytics is a Climate Tech startup that combines the power of AI & Satellite data to aid in the creation of a global environmental data stack. Our funders include Beenext and Rainmatter. Over the next 12 months, we aim to expand to 10 environmental data-sets spanning water, land, heat, and more!
We are looking for a Data Lead - someone who works at the intersection of data science, GIS, and engineering. We want a leader who not only understands environmental data but someone who can quickly assemble large scale datasets that are crucial to the well being of our planet. Come save the planet with us!
Your Role
Manage: As a leadership position, this requires long term strategic thinking. You will be in charge of daily operations of the data team. This would include running team standups, planning the execution of data generation and ensuring the algorithms are put in production. You will also be the person in charge to dumb down the data science for the rest of us who do not know what it means.
Love and Live Data: You will also be taking all the responsibility of ensuring that the data we generate is accurate, clean, and is ready to use for our clients. This would entail that you understand what the market needs, calculate feasibilities and build data pipelines. You should understand the algorithms that we use or need to use and take decisions on what would serve the needs of our clients well. We also want our Data Lead to be constantly probing for newer and optimized ways of generating datasets. It would help if they were abreast of all the latest developments in the data science and environmental worlds. The Data Lead also has to be able to work with our Platform team on integrating the data on our platform and API portal.
Collaboration: We use Clubhouse to track and manage our projects across our organization - this will require you to collaborate with the team and follow up with members on a regular basis. About 50% of the work, needs to be the pulse of the platform team. You'll collaborate closely with peers from other functions—Design, Product, Marketing, Sales, and Support to name a few—on our overall product roadmap, on product launches, and on ongoing operations. You will find yourself working with the product management team to define and execute the feature roadmap. You will be expected to work closely with the CTO, reporting on daily operations and development. We don't believe in a top-down hierarchical approach and are transparent with everyone. This means honest and mutual feedback and ability to adapt.
Teaching: Not exactly in the traditional sense. You'll recruit, coach, and develop engineers while ensuring that they are regularly receiving feedback and making rapid progress on personal and professional goals.
Humble and cool: Look we will be upfront with you about one thing - our team is fairly young and is always buzzing with work. In this fast-paced setting, we are looking for someone who can stay cool, is humble, and is willing to learn. You are adaptable, can skill up fast, and are fearless at trying new methods. After all, you're in the business of saving the planet!
Requirements
- A minimum of 5 years of industry experience.
- Hyper-curious!
- Exceptional at Remote Sensing Data, GIS, Data Science.
- Must have big data & data analytics experience
- Very good in documentation & speccing datasets
- Experience with AWS Cloud, Linux, Infra as Code & Docker (containers) is a must
- Coordinate with cross-functional teams (DevOPS, QA, Design etc.) on planning and execution
- Lead, mentor and manage deliverables of a team of talented and highly motivated team of developers
- Must have experience in building, managing, growing & hiring data teams. Has built large-scale datasets from scratch
- Managing work on team's Clubhouse & follows up with the team. ~ 50% of work, needs to be the pulse of the platform team
- Exceptional communication skills & ability to abstract away problems & build systems. Should be able to explain to the management anything & everything
- Quality control - you'll be responsible for maintaining a high quality bar for everything your team ships. This includes documentation and data quality
- Experience of having led smaller teams, would be a plus.
Benefits
- Work from anywhere: Work by the beach or from the mountains.
- Open source at heart: We are building a community where you can use, contribute and collaborate on.
- Own a slice of the pie: Possibility of becoming an owner by investing in ESOPs.
- Flexible timings: Fit your work around your lifestyle.
- Comprehensive health cover: Health cover for you and your dependents to keep you tension free.
- Work Machine of choice: Buy a device and own it after completing a year at BSA.
- Quarterly Retreats: Yes there's work-but then there's all the non-work+fun aspect aka the retreat!
- Yearly vacations: Take time off to rest and get ready for the next big assignment by availing the paid leaves.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Blue Sky Analytics
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Tatvic, is a marketing analytics company focusing on generating insights from data using long association with Google & its infrastructure. We breed,recognize and reward performance. As a company we are growing very fast & we are under transformation. To enable this transformation we need future leaders with eyesight which balances execution & strategic understanding.
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2. Role Details
- Role: Lead Data Engineer
- Band: L4
- Department: Data Engineering
- Reporting to: L5 / Head of Delivery
- Location: Ahmedabad
- Job Type: Full Time
- Experience: 6-8 years of relevant experience
- Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field.
3. Mission & Role Overview
- Mission: To create high-level organizational impact by leading a team to design and deliver scalable, high-performance cloud-native data solutions. The Lead Data Engineer (L4) is responsible for ensuring technical excellence—specifically in BigQuery optimization and secure GCP/AWS architectures—while driving the transition to Agentic AI workflows and creating value through the development of L1-L3 engineers.
- Role Overview: This is a pivotal leadership role on the Management Track, responsible for end-to-end data outcomes for the function. The Lead Engineer ensures the quality of engineering execution, manages team utilization and resource allocation, and serves as the primary technical representative in cross-functional forums with Marketing, Strategy, and Product teams.
4. Key Responsibilities
- Lead the design, development, and deployment of scalable and efficient cloud-based data pipelines and architectures.
- Build reusable data solutions and software components that serve multiple customers and use cases.
- Architect cloud environments using GCP, ensuring best practices in IAM, Security, and Networking.
- Conduct Exploratory Data Analysis (EDA) on clickstream and behavioral datasets to derive insights.
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- Design and build production-grade software (APIs, services, internal tools) with sound engineering practices — version control, testing, CI/CD, and code review.
- Extend data platforms with AI capabilities — integrating LLMs, RAG pipelines, and agentic workflows where they add clear business value.
- Perform Root Cause Analysis (RCA) and resolve data quality, pipeline, or application issues.
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- Document architectures, design decisions, and operations clearly and consistently.
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- Participate in recruitment and knowledge-sharing through interviews, blogs, and webinars.
5. Must-Have & Good-to-Have Skills
Must-Have Skills:
- Strong understanding of clickstream data and data pipeline architecture
- Hands-on experience with cloud platforms (GCP)
- Expertise in SQL, Python, and Airflow
- Solid software engineering foundation — API design, testing, version control, and deployment practices
- Proven ability to perform exploratory data analysis and data validation
- Knowledge of cloud security, IAM, and networking best practices
- Working knowledge of building or integrating AI/LLM-based components into existing systems
- Excellent problem-solving, stakeholder management, and communication skills
Good-to-Have Skills:
- Certifications such as: Google Cloud Professional Data Engineer / Cloud Architect
- AWS Certified Data Analytics or Azure Data Engineer Associate
- Google Analytics 4 (GAIQ)
- Experience in marketing attribution, commerce data, or analytics ecosystems
- Exposure to cost optimization and cloud resource management
- Experience with agent frameworks (LangChain, ADK, MCP) or LLM APIs
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6. Not-a-Fit Criteria
- Individual Contributor Focus: Operates as the team's best individual contributor instead of building team capability or empowering L3s.
- Information Hoarding: Keeps architectural patterns or tribal knowledge trapped in their head rather than creating reusable playbooks and documentation.
- Avoidance of Conflict: Avoids difficult performance conversations with underperforming team members, allowing capability gaps to persist.
- Activity Over Outcomes: Measures success by "tasks completed" rather than pipeline stability, data accuracy, or business impact.
- Functional Siloing: Fails to build partnerships with Marketing or Product teams, leading to misaligned data delivery.
Our Culture & Perks - Where Passion Meets Purpose:
- Competitive CTC: Based on experience and skillset
- Medical Insurance for you and your family
- Return-to-Work Program for New Moms — because career breaks shouldn’t break momentum
- 1 Work From Home Day/Month — flexibility when life calls
- 2 Birthday Leaves/Year — one for you, one for someone you love
- Monthly Engagement Activities — from game nights to learning sessions
- Inclusive Culture & Equal Opportunity Employer — diversity drives our innovation
- We Think Like Engineers & Athletes: we build, we iterate, we scale, we win — together
- 5-day workweek — because balance drives brilliance
PythonJob Summary
The Technical Lead will be responsible for overseeing and leading projects related to Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, and Python. The role involves designing, developing, and implementing data solutions while ensuring they meet the business requirements and align with best practices. (1.) Key Responsibilities
1. Lead and manage end-to-end data engineering projects using azure data factory, azure databricks, sql, oracle pl/sql, and python.
2. Collaborate with stakeholders to gather and understand requirements for data pipelines and analytics solutions.
3. Design and develop etl processes, data models, and data integration solutions.
4. Provide technical guidance and mentorship to the team members.
5. Ensure data quality, data governance, and data security standards are maintained throughout the project lifecycle.
6. Troubleshoot and optimize data pipelines and processes for performance and efficiency.
7. Stay updated on the latest trends and technologies in data engineering and contribute to continuous improvement efforts.
Skill Requirements
1. Proficiency in azure data factory (adf) and azure databricks for building and managing data pipelines.
2. Strong experience with sql and oracle pl/sql for data querying and manipulation.
3. Advanced programming skills in python for scripting and data processing tasks.
4. Knowledge of data modeling, data warehousing concepts, and database design principles.
5. Ability to work in a collaborative team environment and communicate effectively with stakeholders.
6. Strong analytical and problem-solving skills with attention to detail.
7. Experience in data visualization tools and techniques is a plus.
Certifications: Relevant certifications in Azure Data Factory, Azure Databricks, SQL, Oracle PL/SQL, or Python are advantageous.
Skill (Primary)
Data Fabric-Azure-Azure Data Factory (ADF)
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon