Senior Data Engineer at Astegic · Remote only · 10 - 13 years · ₹30L - ₹50L / yr · Bootstrapped · Remote only · Posted 27 May 2025
Scala
Python
JavaPOSITION:
Senior Data Engineer
The Senior Data Engineer will be responsible for building and extending our data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys working with big data and building systems from the ground up.
You will collaborate with our software engineers, database architects, data analysts and data scientists to ensure our data delivery architecture is consistent throughout the platform. You must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.
What You’ll Be Doing:
● Design and build parts of our data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources using the latest Big Data technologies.
● Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
● Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
● Work with machine learning, data, and analytics experts to drive innovation, accuracy and greater functionality in our data system.
Qualifications:
● Bachelor's degree in Engineering, Computer Science, or relevant
field.
● 10+ years of relevant and recent experience in a Data Engineer role.
● 5+ years recent experience with Apache Spark and solid understanding of the fundamentals.
● Deep understanding of Big Data concepts and distributed systems.
● Strong coding skills with Scala, Python, Java and/or other languages and the ability to quickly switch between them with ease.
● Advanced working SQL knowledge and experience working with a variety of relational databases such as Postgres and/or MySQL.
● Cloud Experience with DataBricks
● Experience working with data stored in many formats including Delta Tables, Parquet, CSV and JSON.
● Comfortable working in a linux shell environment and writing scripts as needed.
● Comfortable working in an Agile environment
● Machine Learning knowledge is a plus.
● Must be capable of working independently and delivering stable,
efficient and reliable software.
● Excellent written and verbal communication skills in English.
● Experience supporting and working with cross-functional teams in a dynamic environment.
REPORTING: This position will report to our CEO or any other Lead as assigned by Management.
EMPLOYMENT TYPE: Full-Time, Permanent LOCATION: Remote (Pan India) SHIFT TIMINGS: 2.00 pm-11:00pm IST
WHO WE ARE:
SalesIntel is the top revenue intelligence platform on the market. Our combination of automation and researchers allows us to reach 95% data accuracy for all our published contact data, while continuing to scale up our number of contacts. We currently have more than 5 million human-verifi ed contacts, another 70 million plus machine processed contacts, and the highest number of direct dial contacts in the industry. We guarantee our accuracy with our well-trained research team that re-verifi es every direct dial number, email, and contact every 90 days. With the most comprehensive contact and company data and our excellent customer service, SalesIntel has the best B2B data available. For more information, please visit – www.salesintel.io
WHAT WE OFFER: SalesIntel’s workplace is all about diversity. Different countries and cultures are represented in our workforce. We are growing at a fast pace and our work environment is constantly evolving with changing times. We motivate our team to better themselves by offering all the good stuff you’d expect like Holidays, Paid Leaves, Bonuses, Incentives, Medical Policy and company paid Training Programs.
SalesIntel is an Equal Opportunity Employer. We prohibit discrimination and harassment of any type and offer equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Astegic
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- Develop reliable, high-performance data pipelines for batch and streaming workloads.
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- Collaborate with engineering, product, analytics, and other platform teams to deliver robust data solutions.
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- 5+ years of experience in Data Engineering, Big Data Engineering, or a similar role.
- Strong hands-on experience with Apache Spark and Scala.
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Pythonrole: data engineer
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immediate to 15days.
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We are looking for a Senior Data Engineer with strong hands-on expertise in Databricks, Python, PySpark, and SQL to build scalable, high-performance data engineering solutions. You’ll architect and develop large scale, high-performance data pipelines capable of handling massive real-time and batch data volumes across multiple business systems. Databricks is the core enterprise data and processing platform for this role. You will also use Apache Airflow for workflow orchestration and dbt for ELT transformations, and will contribute to designing reliable, secure, and governed data platforms that enable analytics, reporting, and AI-driven use cases.
Key Responsibilities
- Design and implement large-scale data pipelines using Python/PySpark, Databricks, and Microsoft Fabric.
- Develop and optimize data processing workloads in Databricks using PySpark and Spark SQL, with a strong focus on scalability, reliability, performance, and maintainability.
- Develop and maintain dbt models including layered architecture, incremental models, snapshots, macros, testing, and documentation.
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Required Skills
- Strong expertise in Python for developing scalable, modular, and production-ready data engineering applications.
- Strong expertise in PySpark, including DataFrame API, Spark SQL, Structured Streaming, partitioning strategies, joins, caching, handling data skew, and Spark performance optimization.
- Strong hands-on experience with Databricks for data ingestion, transformation, processing, and optimization, including Delta Lake, Unity Catalog, Databricks Workflows, notebooks, jobs, and Databricks-native data engineering capabilities.
- Strong experience in Databricks/Spark performance tuning, including query and job optimization, partitioning, file sizing, caching, join optimization, handling data skew, and efficient use of compute resources.
- Hands-on experience with Delta Lake, including transactional data processing, schema management, incremental data processing, and reliable batch and streaming data pipelines.
- Hands-on experience in developing dbt projects using layered architecture, incremental models, snapshots, macros/Jinja, testing, documentation, and deployment best practices.
- Expertise in advanced SQL and data modelling — dimensional modeling, slowly changing dimensions, schema evolution, and query optimization.
- Hands-on experience in developing and managing Apache Airflow DAGs, scheduling workflows, dependency management, retries, backfills, and operational monitoring.
- Hands-on experience with at least one major cloud platform (AWS, Azure or GCP).
- Strong problem-solving skills and the ability to work independently with business and analytics stakeholders.
Nice to Have
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Responsibilities and JD
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Build and maintain data transformation pipelines using java Spark
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Required Skills & Qualifications
Strong hands-on experience with Apache Spark
Experience with HBase/SQL or similar lakehouse query engines
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We are looking for Senior Data Engineers to join our AdTech team and build scalable, high-performance data platforms that power advertising insights and analytics. The ideal candidate will have strong experience in distributed data processing, ETL pipelines, and Big Data technologies, with hands-on expertise in Spark and Scala.
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- Proximity Talks: Meet and learn from designers, engineers, product leaders, and AI practitioners.
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Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world. We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore.
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- Data Integration: Ingest, transform, and integrate data from diverse sources, including APIs, databases, streaming platforms, and third-party systems, into Databricks for analytics and reporting.
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- Proficiency in Databricks, including Delta Lake, Spark SQL.
- Strong programming skills in Python, Scala, or Java.
- Experience with Apache Spark for big data processing.
- Knowledge of SQL for querying and transforming data.
- Proficiency in Power BI for creating data models, DAX queries, and interactive dashboards.
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- Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional).
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Python1st virtual , 2nd round F2F
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JavaCompany Name – Wissen Technology
Group of companies in India – Wissen Technology & Wissen Infotech
Work Location – Whitefield, Bangalore
Website and Company profile:
www.wissen.com
LinkedIn Page:
https://www.linkedin.com/company/wissen-technology/
While you may already know about Wissen and the company history, here is a quick rundown for you.
About Wissen Technology:
· The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.
· Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.
· Our workforce has highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.
· Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.
· Globally present with offices US, India, UK, Australia, Mexico, and Canada.
· We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
· Wissen Technology has been certified as a Great Place to Work®.
· Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.
· Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.
· We have served client across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include likes of Morgan Stanley, Goldman Sachs, MSCI, StateStreet, Flipkart, Swiggy, Trafigura, GE to name a few.
About Role :
Key Responsibilities
- Build and maintain data transformation pipelines using java Spark
- Develop and optimize large-scale/CPU intensive data processing using Apache Spark
- Orchestrate workflows using Airflow
- Implement data quality checks, testing, and monitoring for pipeline. Good to have exposer into managing metadata, cataloguing, and lineage
- Support schema evolution, backfills, and incremental processing
- Ensure pipelines meet SLAs for freshness, reliability, and performance
- Expertise/working knowledge in Spark and HBase(semantic layer, virtual datasets, Reflections)
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- Strong hands-on experience with
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- Apache Spark
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- Airflow
- Understanding of data catalogs and lineage (e.g., OpenLineage, DataHub, Apache Polaris , openlineage)
- Proficiency in Java
- Experience with Git-based development and CI/CD
Nice-to-Have Skills
- OpenTable format/Iceberg ,Apache Arrow
- CDC-based analytics pipelines
- Cloud platforms (AWS)
- Kubernetes-based data platforms
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon