Snowflake Jobs in Chennai

Job Overview Senior Engineer - Data Engineering in the Automotive domain with 3-7 years of experience Extensive expertise in pyspark, hadoop, and gcp for designing and implementing data pipelines Proficient in tensorflow, python, and SQL for automation, data quality, and optimization Skilled in big data technologies like numpy, pandas, and data manipulation Responsible for architecting scalable data pipelines, data transformation, performance optimization, monitoring, and collaboration with cross-functional teams Bachelor's degree in Computer Science or equivalent; preferred certifications include Professional Data Engineer and Google Cloud Certified - Professional Data Engineer Good to have experience with CI/CD practices, data processing libraries, data quality, Pub/Sub architectures, and Tekton pipelines management Roles & Responsibilities Architect and Develop Data Pipelines: Lead the design, development, and maintenance of scalable and efficient data pipelines using GCP services like Pub/Sub for real-time data ingestion and BigQuery for storage and analysis. Data Transformation and Processing: Implement data transformation processes to cleanse, enrich, and aggregate raw data from diverse sources, ensuring data quality and consistency. Performance Optimization: Fine-tune data pipelines and queries to enhance performance, reduce latency, and ensure timely data access for stakeholders. Monitoring and Maintenance: Implement monitoring solutions for tracking pipeline performance, addressing issues proactively, and conducting regular maintenance tasks to uphold data infrastructure reliability. Collaboration: Collaborate with Data Scientists, Software Engineers, and Business Analysts to understand data requirements and provide technical solutions to meet business needs. Documentation: Document data pipelines, processes, and best practices to facilitate knowledge sharing and maintain a comprehensive understanding of data architecture. Our ideal candidate Extensive knowledge and proficiency in pyspark, hadoop, and gcp Advanced skills in designing and implementing data pipelines, data modeling, and data warehousing solutions Proficiency in tensorflow and python for automation scripts and data quality Strong SQL skills for querying and optimizing data warehouse operations Expertise in big data technologies like numpy, pandas, and libraries for data manipulation and analysis Monitoring data processes, utilizing GCP services, and implementing data engineering best practices Prioritizing skills in GCP, BigQuery, Python, Data Modeling, SQL, and Data Warehousing Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or a Master of Technology (M.Tech) in Data Science or Big Data Analytics Certifications such as Professional Data Engineer and Google Cloud Certified - Professional Data Engineer preferred Company overview Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.Altimetrik helps get companies get unstuck . We re a technology company that lives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organization s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, or a Master of Technology (M.Tech) in Data Science or Big Data Analytics

About Arcadia: Arcadia is at the forefront of tackling the climate crisis by empowering energy innovators and consumers. Our cutting-edge software and APIs are helping transform the outdated energy systems into a decarbonized, data-driven network. Arcadia's mission, launched in 2014, is to break the fossil fuel monopoly and unlock clean energy options for consumers and businesses. Today, we are expanding even further with the Arcadia Platform, a SaaS solution enabling developers to create custom, personalized energy experiences. Join us in building a clean energy future. What We re Looking For: We are seeking a skilled L2 Engineer with at least 2 years of experience to provide on-call support during US hours. The role requires a proactive, detail-oriented individual who will monitor dashboards, detect issues, and take immediate action to resolve incidents. The L2 Engineer will play a critical role in ensuring business continuity by swiftly addressing incidents that impact operations. Key Responsibilities: Dashboard Monitoring: Regularly monitor dashboards and alert systems like Datadog and Sentry to detect anomalies and potential issues in real-time. Incident Management: Proactively identify and escalate incidents by raising Jira tickets, categorizing issues by urgency and business impact. Immediate Issue Resolution: Utilize strong debugging skills to diagnose and resolve high-priority issues swiftly, minimizing business disruptions. Documentation: Maintain clear records of incidents, resolutions, and processes to improve team efficiency and knowledge sharing. Collaboration: Work closely with internal teams, clearly communicating incident details and coordinating prompt resolutions. Required Skills and Qualifications: 2+ years of experience with Python for troubleshooting, scripting, and automation. Proficient in SQL scripting to effectively query and troubleshoot databases. Strong debugging and problem-solving skills to address technical issues efficiently. Experience with monitoring tools like Datadog and Sentry for effective issue detection. Proficient in using Jira to raise, manage, and track incident tickets. Excellent communication skills for documenting incidents and coordinating with cross-functional teams. Preferred Qualifications: Previous on-call support experience, particularly in environments where downtime has critical business implications. Familiarity with JavaScript and Ruby on Rails for enhancing monitoring and automation capabilities. Knowledge of incident management best practices, including SLAs and escalation procedures. Experience with Amazon Aurora, PostgreSQL, and Snowflake for data management. Familiarity with containerization and orchestration technologies like Docker and Kubernetes. What Arcadia Offers: Competitive compensation based on market standards. Flexible leave policy to support work-life balance. Medical insurance for you and your family (up to 6 members), including accident and life insurance. Annual performance cycle with recognition and rewards. Quarterly team engagement activities and opportunities for recognition. Learning and development programs to foster professional growth. A supportive engineering culture that emphasizes diversity, empathy, teamwork, and efficiency. Why Arcadia? At Arcadia, we value diversity and individuality. We believe that diverse perspectives are crucial to our collective success in creating a clean energy future. As part of our commitment to inclusion, we provide reasonable accommodations for individuals with disabilities during the application or interview process. While we are unable to consider candidates requiring visa sponsorship, we encourage all qualified candidates eligible to work in India to apply. How to Apply: If you're ready to contribute to a clean energy future and are excited to join a passionate team of innovators, we encourage you to apply. Arcadia welcomes diverse candidates and is eager to see how your unique skills and experience can enhance our mission.

About Arcadia: Arcadia is a leading technology company focused on solving the climate crisis by empowering energy innovators and consumers. We re revolutionizing the energy industry with our software and APIs, creating access to the data and clean energy necessary for building a decarbonized energy grid. Since our founding in 2014, Arcadia has been working to break the fossil fuel monopoly and offer high-quality clean energy options to consumers and small businesses. Today, we ve launched Arcadia Platform, a SaaS product that is transforming the energy industry into a data-driven network. With a $1.5B valuation and $500M raised, Arcadia is scaling its operations to solve one of the world s most significant challenges. We re building a diverse team of individuals who are passionate about making a difference. Join us in shaping a clean energy future! What We re Looking For: We are seeking a thoughtful, empathetic, and driven Engineering Manager to lead and grow our team of four engineers responsible for building data products for Arcadia s customers and internal stakeholders. You will guide the team to solve complex data engineering and analytics problems, while ensuring their professional growth and development. You will also work closely with the Director of Data and Analytics Engineering to develop roadmaps and strategies that align with the business needs. The role is based in Chennai, India, with a hybrid remote-first approach, and offers the opportunity to shape a world-class data ecosystem in a fast-paced, high-growth environment. What You'll Do: Empower and guide engineers: Lead a team of engineers in solving complex data problems within the energy sector. Work with cross-functional teams: Collaborate with Product, Design, and Marketing teams to define roadmaps and strategies for our Platform business. Drive technical excellence: Contribute to technical discussions and ensure that the team is building scalable data pipelines and assets. Mentor and develop team members: Provide ongoing mentorship, aligning team members skills, interests, and career aspirations with business needs. Facilitate regular feedback and performance discussions. Lead by example: Foster a culture of empathy and humanity while delivering results in a fast-paced environment. Align stakeholder expectations: Represent engineering concerns to ensure alignment with business priorities and goals. What Will Help You Succeed: Must-Haves: 6+ years of experience, with 2+ years in a leadership/management role on a data engineering or analytics engineering team. Deep understanding of modern data and analytics engineering practices, with the ability to contribute hands-on when necessary. Experience with Python (in a data orchestration context) and SQL (in a data modeling context). A proven track record of mentoring and growing direct reports through feedback, goal-setting, and career development. Ability to navigate the relationship between Engineering, Product, and Design teams. Nice-to-Haves: Experience with tools and technologies in Arcadia s data stack: Snowflake dbt (or similar Analytics Engineering tools) Prefect (Airflow experience is a plus) AWS, Docker, Kubernetes (basic familiarity) GitHub and GitHub Actions Experience with scalability challenges at fast-growing startups. Familiarity with automating internal processes to improve operational efficiency. Experience with roadmap development and execution. Background in the energy sector or related fields. Benefits: Competitive compensation based on market standards. Hybrid remote-first model, promoting flexibility in work arrangements. Flexible leave policy to support work-life balance. Medical insurance for you and your family (up to 6 members), including accident and life insurance. Annual performance cycle with rewards and recognition. Quarterly team engagement activities to enhance collaboration and team spirit. Learning & Development programs to support continuous growth and skill-building. A supportive engineering culture that emphasizes diversity, empathy, teamwork, trust, and efficiency. Why Arcadia? At Arcadia, we celebrate diversity and believe that unique perspectives are essential to our collective success. We are committed to equal employment opportunities and welcome applicants from all qualified candidates eligible to work in India, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, or protected veteran status. We are committed to providing reasonable accommodations for individuals with disabilities during the application process, interviews, or employment. Please contact us if you require accommodation. How to Apply: If you are excited about building the next-generation data ecosystem and contributing to Arcadia s mission of a clean energy future, we encourage you to apply. We look forward to learning what you will uniquely bring to our team! Qualification : 6+ years of experience, with 2+ years in a leadership/management role on a data engineering or analytics engineering team.

QA Testing Lead (ETL Testing) Role Overview We are seeking an experienced QA Testing Lead with expertise in ETL testing to ensure the accuracy, integrity, and performance of data processes. The ideal candidate should have team-handling experience, strong communication skills, and a solid understanding of data warehouse concepts. This role requires close collaboration with onshore and offshore teams to coordinate test strategies, perform data validations, and ensure seamless ETL testing execution. Key Responsibilities Test Strategy & Execution Review business requirements and prepare comprehensive test plans. Develop and execute ETL test cases, test scripts, and test plans. Perform data validations, reconciliations, and integrity checks. Ensure accurate data transformations, mappings, and loading processes. ETL Testing Expertise Conduct various types of ETL testing, including: Metadata Testing Data Completeness Testing Data Accuracy Testing Data Transformation Testing Data Quality Testing Initial/Incremental Load Testing Run SQL queries to verify data consistency between source and target systems. Work on dimensional modeling concepts (star schemas, snowflakes, dimensions, and facts). Team Coordination & Collaboration Lead onshore-offshore testing teams and ensure smooth project execution. Collaborate with data architects, developers, and business teams. Coordinate with stakeholders to provide timely status updates and solutions. Process Improvement & Reporting Ensure testing best practices, including automation where applicable. Prepare test reports, defect tracking, and performance analysis. Proactively identify, troubleshoot, and resolve testing challenges. Required Qualifications & Skills Technical Expertise: ETL testing experience in large-scale enterprise projects. Strong SQL skills for data validation and reconciliation. Hands-on experience in ETL tools (Informatica, Talend, DataStage, etc.). Familiarity with data warehousing concepts and dimensional modeling. Leadership & Coordination: Proven team-handling skills in an onshore-offshore model. Strong communication and stakeholder management abilities. Ability to work independently and drive testing initiatives. Domain Knowledge (Preferred): Experience in eCommerce, online shopping, sales, or retail domain. Apply Now & Join a High-Impact QA Team!