About 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.
About Blue Sky Analytics
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A Bachelor’s degree in data science, statistics, computer science, or a similar field
2+ years industry experience working in a data science role, such as statistics, machine learning,
deep learning, quantitative financial analysis, data engineering or natural language processing
Domain experience in Financial Services (banking, insurance, risk, funds) is preferred
Have and experience and be involved in producing and rapidly delivering minimum viable products,
results focused with ability to prioritize the most impactful deliverables
Strong Applied Statistics capabilities. Including excellent understanding of Machine Learning
techniques and algorithms
Hands on experience preferable in implementing scalable Machine Learning solutions using Python /
Scala / Java on Azure, AWS or Google cloud platform
Experience with storage frameworks like Hadoop, Spark, Kafka etc
Experience in building &deploying unsupervised, semi-supervised, and supervised models and be
knowledgeable in various ML algorithms such as regression models, Tree-based algorithms,
ensemble learning techniques, distance-based ML algorithms etc
Ability to track down complex data quality and data integration issues, evaluate different algorithmic
approaches, and analyse data to solve problems.
Experience in implementing parallel processing and in-memory frameworks such as H2O.ai
Duration : Full Time
Location : Vishakhapatnam, Bangalore, Chennai
years of experience : 3+ years
Job Description :
- 3+ Years of working as a Data Engineer with thorough understanding of data frameworks that collect, manage, transform and store data that can derive business insights.
- Strong communications (written and verbal) along with being a good team player.
- 2+ years of experience within the Big Data ecosystem (Hadoop, Sqoop, Hive, Spark, Pig, etc.)
- 2+ years of strong experience with SQL and Python (Data Engineering focused).
- Experience with GCP Data Services such as BigQuery, Dataflow, Dataproc, etc. is an added advantage and preferred.
- Any prior experience in ETL tools such as DataStage, Informatica, DBT, Talend, etc. is an added advantage for the role.
- Cloud: GCP
- Must have: BigQuery, Python, Vertex AI
- Nice to have Services: Data Plex
- Exp level: 5-10 years.
- Preferred Industry (nice to have): Manufacturing – B2B sales
Qualifications
B.Tech/M.Tech
Percentage 70% and above
2018 & 2019 passouts
At least 3 POC Implementations should have done
Premium Institutes passouts are more preferrable
The Data Engineer would be responsible for selecting and integrating Big Data tools and frameworks required. Would implement Data Ingestion & ETL/ELT processes
Required Experience, Skills and Qualifications:
- Hands on experience on Big Data tools/technologies like Spark, Databricks, Map Reduce, Hive, HDFS.
- Expertise and excellent understanding of big data toolset such as Sqoop, Spark-streaming, Kafka, NiFi
- Proficiency in any of the programming language: Python/ Scala/ Java with 4+ years’ experience
- Experience in Cloud infrastructures like MS Azure, Data lake etc
- Good working knowledge in NoSQL DB (Mongo, HBase, Casandra)
1. Expert in deep learning and machine learning techniques,
2. Extremely Good in image/video processing,
3. Have a Good understanding of Linear algebra, Optimization techniques, Statistics and pattern recognition.
Then u r the right fit for this position.
● Ability to do exploratory analysis: Fetch data from systems and analyze trends.
● Developing customer segmentation models to improve the efficiency of marketing and product
campaigns.
● Establishing mechanisms for cross functional teams to consume customer insights to improve
engagement along the customer life cycle.
● Gather requirements for dashboards from business, marketing and operations stakeholders.
● Preparing internal reports for executive leadership and supporting their decision making.
● Analyse data, derive insights and embed it into Business actions.
● Work with cross functional teams.
Skills Required
• Data Analytics Visionary.
• Strong in SQL & Excel and good to have experience in Tableau.
• Experience in the field of Data Analysis, Data Visualization.
• Strong in analysing the Data and creating dashboards.
• Strong in communication, presentation and business intelligence.
• Multi-Dimensional, "Growth Hacker" Skill Set with strong sense of ownership for work.
• Aggressive “Take no prisoners” approach.