Data Engineer- Integration at SteelEye · Bengaluru (Bangalore) · 4 - 8 years · ₹20L - ₹30L / yr · Raised funding · Posted 14 Jul 2022

About us
SteelEye is the only regulatory compliance technology and data analytics firm that offers transaction reporting, record keeping, trade reconstruction, best execution and data insight in one comprehensive solution. The firm’s scalable secure data storage platform offers encryption at rest and in flight and best-in-class analytics to help financial firms meet regulatory obligations and gain competitive advantage.
The company has a highly experienced management team and a strong board, who have decades of technology and management experience and worked in senior positions at many leading international financial businesses. We are a young company that shares a commitment to learning, being smart, working hard and being honest in all we do and striving to do that better each day. We value all our colleagues equally and everyone should feel able to speak up, propose an idea, point out a mistake and feel safe, happy and be themselves at work.
Being part of a start-up can be equally exciting as it is challenging. You will be part of the SteelEye team not just because of your talent but also because of your entrepreneurial flare which we thrive on at SteelEye. This means we want you to be curious, contribute, ask questions and share ideas. We encourage you to get involved in helping shape our business. What you'll do
What you will do?
- Deliver plugins for our python based ETL pipelines.
- Deliver python services for provisioning and managing cloud infrastructure.
- Design, Develop, Unit Test, and Support code in production.
- Deal with challenges associated with large volumes of data.
- Manage expectations with internal stakeholders and context switch between multiple deliverables as priorities change.
- Thrive in an environment that uses AWS and Elasticsearch extensively.
- Keep abreast of technology and contribute to the evolution of the product.
- Champion best practices and provide mentorship.
What we're looking for
- Python 3.
- Python libraries used for data (such as pandas, numpy).
- AWS.
- Elasticsearch.
- Performance tuning.
- Object Oriented Design and Modelling.
- Delivering complex software, ideally in a FinTech setting.
- CI/CD tools.
- Knowledge of design patterns.
- Sharp analytical and problem-solving skills.
- Strong sense of ownership.
- Demonstrable desire to learn and grow.
- Excellent written and oral communication skills.
- Mature collaboration and mentoring abilities.
What will you get?
- This is an individual contributor role. So, if you are someone who loves to code and solve complex problems and build amazing products and not worry about anything else, this is the role for you.
- You will have the chance to learn from the best in the business who have worked across the world and are technology geeks.
- Company that always appreciates ownership and initiative. If you are someone who is full of ideas, this role is for you.

About SteelEye
About
Our clients can aggregate, search, surveillance and report on trade, communications and market data. SteelEye also enables customers to gain powerful insights from their data, helping them to trade with greater efficiency and profitability. The company has a highly experienced management team and a strong board, who have decades of technology and management experience and worked in senior positions at many leading international financial businesses.
We are a vibrant, fun and exciting group of people that share a passion for technology and data. If you have what it takes to become a part of the SteelEye family, you have come to the right place. This is where you will find information about our people, culture and our current job opportunities.
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Job Title : AWS Data Engineer
Experience : 4+ Years
Location : Bengaluru (HSR – Hybrid, 3 Days WFO)
Notice Period : Immediate Joiner
💡 Role Overview :
We are looking for a skilled AWS Data Engineer to design, build, and scale modern data platforms. The role involves working with AWS-native services, Python, Spark, and DBT to deliver secure, scalable, and high-performance data solutions in an Agile environment.
🔥 Mandatory Skills :
Python, SQL, Spark, AWS (S3, Glue, EMR, Redshift, Athena, Lambda), DBT, ETL/ELT pipeline development, Airflow/Step Functions, Data Lake (Parquet/ORC/Iceberg), Terraform & CI/CD, Data Governance & Security
🚀 Key Responsibilities :
- Design, build, and optimize ETL/ELT pipelines using Python, DBT, and AWS services
- Develop and manage scalable data lakes on S3 using formats like Parquet, ORC, and Iceberg
- Build end-to-end data solutions using Glue, EMR, Lambda, Redshift, and Athena
- Implement data governance, security, and metadata management using Glue Data Catalog, Lake Formation, IAM, and KMS
- Orchestrate workflows using Airflow, Step Functions, or AWS-native tools
- Ensure reliability and automation via CloudWatch, CloudTrail, CodePipeline, and Terraform
- Collaborate with data analysts and data scientists to deliver actionable insights
- Work in an Agile environment to deliver high-quality data solutions
✅ Mandatory Skills :
- Strong Python (including AWS SDKs), SQL, Spark
- Hands-on experience with AWS data stack (S3, Glue, EMR, Redshift, Athena, Lambda)
- Experience with DBT and ETL/ELT pipeline development
- Workflow orchestration using Airflow / Step Functions
- Knowledge of data lake formats (Parquet, ORC, Iceberg)
- Exposure to DevOps practices (Terraform, CI/CD)
- Strong understanding of data governance and security best practices
- Minimum 4–7 years in Data Engineering (3+ years on AWS)
➕ Good to Have :
- Understanding of Data Mesh architecture
- Experience with platforms like Data.World
- Exposure to Hadoop / HDFS ecosystems
🤝 What We’re Looking For :
- Strong problem-solving and analytical skills
- Ability to work in a collaborative, cross-functional environment
- Good communication and stakeholder management skills
- Self-driven and adaptable to fast-paced environments
📝 Interview Process :
- Online Assessment
- Technical Interview
- Fitment Round
- Client Round
Job Summary
Role Overview
We are looking for an experienced Data Engineer with strong expertise in Python, ETL, Advanced SQL, CI/CD, DevOps, and Data Analytics. The ideal candidate should have hands-on experience designing and developing scalable data pipelines, transforming large datasets, and supporting data-driven applications.
Experience with Google Cloud Platform (GCP) will be an added advantage.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines using Python and SQL.
- Develop complex and optimized SQL queries, stored procedures, and data transformations.
- Build and maintain reliable data integration workflows across multiple data sources.
- Perform data cleansing, validation, transformation, and quality checks.
- Analyze data and provide insights to support business and technical requirements.
- Implement and maintain CI/CD pipelines for data engineering applications.
- Work with DevOps practices and tools to automate deployments, monitoring, and infrastructure processes.
- Troubleshoot data pipeline failures, performance issues, and production incidents.
- Optimize data processing workflows for performance, scalability, and reliability.
- Collaborate with Data Analysts, Data Scientists, Developers, and other stakeholders.
- Follow best practices for version control, testing, documentation, and deployment.
- Contribute to cloud-based data engineering initiatives, preferably on GCP.
Required Skills
- 5–7 years of hands-on experience in Data Engineering.
- Strong programming skills in Python.
- Strong expertise in Advanced SQL and database concepts.
- Hands-on experience with ETL/ELT processes and data pipelines.
- Good understanding of Data Warehousing and Data Modeling concepts.
- Experience with CI/CD practices and tools.
- Strong understanding of DevOps principles, automation, and deployment processes.
- Strong data analytics and problem-solving skills.
- Experience working with large datasets and performance optimization.
- Good understanding of Git/version control and software development best practices.
Good to Have
- Hands-on experience with Google Cloud Platform (GCP).
- Exposure to GCP data services such as BigQuery, Cloud Storage, Dataflow, Composer, or Pub/Sub.
- Experience with containerization/orchestration technologies such as Docker/Kubernetes.
- Experience with workflow orchestration tools such as Airflow.
- Knowledge of cloud-based data architecture and distributed data processing.
Preferred Candidate Profile
- Strong analytical and problem-solving abilities.
- Good communication and stakeholder management skills.
- Ability to work independently as well as in a collaborative team environment.
- Strong ownership of data pipelines and production systems.
- Candidates who can join at short notice are preferred.
Mandatory Skills
Data Engineer, Python , ETL, GCP, Advanced SQL, Strong Data Analytics skills, CICD, Devops
🚀 Job Title : Data Engineer – AWS, PySpark & Airflow
Experience : 5+ Years
Industry : Health Insurance / BFSI
Location : Sector 43, Gurugram, Haryana
Work Mode : Work From Office (5 Days a Week)
Employment Type : Full-Time
Role Overview :
We are looking for an experienced Data Engineer with strong hands-on expertise in AWS Data Engineering, Data Lake Architecture, Python, SQL, PySpark, and Apache Airflow.
The candidate will be responsible for designing, developing, and maintaining scalable, reliable, and high-performance data pipelines using AWS cloud technologies. The role involves building end-to-end ETL / ELT workflows, implementing data transformation and processing solutions, optimizing pipeline performance, and ensuring the reliability of production data systems.
Mandatory Skills :
AWS Data Engineering | Data Lake Architecture | Amazon S3 | AWS Glue | Amazon EMR | Athena | Redshift | Python | SQL | PySpark | Apache Spark | Apache Airflow | ETL/ELT | PostgreSQL | Data Modelling | Pipeline Optimization | Production Support | Root Cause Analysis
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- Design, develop, and maintain end-to-end data pipelines for data ingestion, staging, transformation, curation, and consumption.
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- AWS Data Engineering : Strong hands-on experience with AWS-based data engineering and data lake architecture.
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- Programming : Strong proficiency in Python and SQL.
- Big Data Processing : Hands-on experience with Apache Spark and PySpark.
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- ETL/ELT Development : Experience building scalable data ingestion, transformation, and processing pipelines.
- Database Technologies : Good understanding of relational databases and PostgreSQL concepts.
- Data Modelling : Experience with data modelling, data transformation, and analytical data structures.
- Production Support : Ability to monitor pipelines, troubleshoot failures, perform RCA, and resolve production issues.
- Performance Optimization : Experience optimizing SQL queries, Spark jobs, and data processing workflows.
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- Experience with AWS Database Migration Service (DMS) and Amazon RDS.
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- Exposure to Apache Kafka and real-time data streaming.
- Familiarity with GraphQL, Hasura, or similar data-serving technologies.
- Understanding of data governance and data quality frameworks.
- Experience in the BFSI, healthcare, or health insurance domain.
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- 5+ years of relevant experience in Data Engineering.
- Proven hands-on experience building and maintaining production-grade data pipelines on AWS.
- Strong understanding of data lake architecture and large-scale data processing.
- Practical experience with Apache Airflow and Spark / PySpark-based transformations.
- Strong programming, analytical, debugging, and problem-solving skills.
- Experience handling production incidents, pipeline failures, and performance bottlenecks.
- Ability to take ownership of deliverables and work effectively with cross-functional teams.
- Good communication, collaboration, and technical documentation skills.
- Willingness to work from the Gurugram office five days a week.
Ideal Candidate :
The ideal candidate is a hands-on Data Engineer who can independently build, optimize, and maintain AWS-based data pipelines, work with large datasets using PySpark, orchestrate workflows through Airflow, and resolve production issues in a business-critical environment.
Job Description
We are looking for an experienced Data Engineer with strong expertise in Python, ETL, SQL, CI/CD, and DevOps to design, develop, and maintain scalable data pipelines and data processing solutions.
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- Develop data processing solutions using Python.
- Write complex and optimized SQL queries, stored procedures, and data transformations.
- Build and maintain data ingestion and integration workflows.
- Implement data quality, validation, monitoring, and error-handling processes.
- Develop and maintain CI/CD pipelines for data engineering applications.
- Work with DevOps tools and practices for automated build, deployment, and infrastructure management.
- Collaborate with data analysts, data scientists, software engineers, and business teams.
- Optimize data pipelines for performance, reliability, and scalability.
- Troubleshoot production data issues and ensure timely resolution.
- Follow best practices for version control, code quality, testing, and deployment.
Mandatory Skills
- Python
- ETL
- SQL
- CI/CD
- DevOps
- Git / Version Control
- Strong problem-solving and debugging skills
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- Design, develop, and maintain scalable data pipelines using Python, Hadoop, and Apache Spark.
- Develop efficient data processing and transformation workflows for large datasets.
- Write, optimize, and maintain complex SQL queries and PL/SQL procedures.
- Perform data extraction, transformation, and loading (ETL) from multiple data sources.
- Work with structured and unstructured data to support analytics and reporting requirements.
- Optimize data pipelines and queries for performance, scalability, and reliability.
- Ensure data quality, consistency, security, and integrity across data platforms.
- Collaborate with cross-functional teams to understand business requirements and deliver data engineering solutions.
- Use Git, automation, and CI/CD practices to support development and deployment.
Required Skills
- 4.5–10 years of experience in software development or data engineering.
- Strong proficiency in AWS
- Hands-on experience with Hadoop and Apache Spark.
- Good knowledge of SQL and PL/SQL, including query optimization and stored procedures.
- Experience in ETL development, data processing, and data pipeline design.
- Understanding of data warehousing concepts and distributed computing.
- Strong problem-solving, debugging, and performance-tuning skills.
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🔹 F2F: Bangalore / Hyderabad Location
🔹 Positions: Immediate requirement
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#Hiring #DataEngineer #PySpark #Python #SQL #BangaloreJobs #HyderabadJobs #Mphasis #ImmediateJoiners
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Job Description – Data / Metadata Engineer
Position
Data / Metadata Engineer
Location
Pune
Experience
- 6–9 Years: Up to 28 LPA
- 10–17 Years: Up to 32 LPA
Notice Period
Immediate to 15 Days Joiners Preferred
Role Overview
We are looking for an experienced Data / Metadata Engineer with strong expertise in Data Engineering, Metadata Management, Data Modeling, Cloud technologies, Python/PySpark, and ETL/Data Pipelines.
The ideal candidate should have hands-on experience designing and developing data solutions, working with metadata and data models, and building scalable data pipelines on cloud platforms.
Mandatory Skills
- Strong experience in Data Engineering
- Hands-on experience in Metadata Management / Metadata Engineering
- Strong understanding of Data Modeling
- Experience with DDL and ER/Data Modeling
- Experience with Cloud technologies – Any Cloud Platform
- Strong programming experience in Python or PySpark
- Experience with ETL processes and Data Pipelines
- Good understanding of data architecture and data integration concepts
Key Responsibilities
- Design, develop, and maintain scalable data engineering solutions.
- Develop and manage data pipelines and ETL workflows.
- Work with metadata and data cataloging concepts.
- Create and maintain data models, DDLs, ER diagrams, and database structures.
- Develop data processing solutions using Python or PySpark.
- Work with cloud-based data platforms and services.
- Collaborate with Data Architects, Data Engineers, Developers, and Business teams.
- Ensure data quality, consistency, availability, and reliability across data pipelines.
- Troubleshoot and optimize existing data pipelines and data processes.
- Follow best practices for data engineering, modeling, and cloud-based implementations.
Candidate Profile
- Strong experience in Data Engineering + Metadata + Data Modeling.
- Good hands-on experience with Python/PySpark and ETL/Data Pipelines.
- Experience working with any major cloud platform.
- Strong understanding of databases, data structures, and data modeling concepts.
- Candidates who can join immediately or within 15 days are preferred.
Job Details
Role: Data / Metadata Engineer
Location: Pune
Experience: 6–17 Years
Budget: 28 LPA (6–9 Yrs) / 32 LPA (10–17 Yrs)
Notice Period: Immediate to 15 Days
We are hiring experienced Data Engineers for a permanent opportunity in Bangalore.
Job Description
Role: Data Engineer
Location: Bangalore
Experience: 6+ Years
Key Responsibilities:
- Design, develop, and maintain scalable data processing pipelines using Amazon EMR.
- Develop data engineering solutions using Python and Scala.
- Process and transform large volumes of structured and unstructured data.
- Build and optimize distributed data processing workflows for performance and scalability.
- Work with big data technologies and cloud-based data processing environments.
- Perform data integration, validation, transformation, and quality checks.
- Troubleshoot data pipeline issues and optimize processing performance.
- Collaborate with data architects, analysts, and development teams to deliver reliable data solutions.
Required Skills:
- Strong hands-on experience with Amazon EMR.
- Proficiency in Python and Scala.
- Experience in big data processing and data pipeline development.
- Good understanding of distributed computing and data transformation techniques.
- Experience in performance tuning and troubleshooting data processing jobs.
- Strong analytical, problem-solving, and communication skills.











