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MA
MathCo

Senior Data Engineer Insurance

Bengaluru · Senior

Expect moderate competitionVerified listingPosted 19d ago

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86Overall
64Skills
97Experience

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What we know about this role

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Skills required

26 listed
CI/CDUnit TestingFunctional ProgrammingAWS GlueStar SchemaSnowflake SchemaSql OptimizationExtract Transform Load (ETL)+18 more
CI/CDUnit TestingFunctional ProgrammingAWS GlueStar Schema

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Job description

Key Responsibilities

  • 4–6 years of relevant work experience.
  • Design, store, process, and maintain large-scale data systems and related infrastructure.
  • Drive multiple projects from both operational and technical standpoints.
  • Ideate and build PoVs/PoCs for new products that can help drive more business.
  • Define, design, and implement data engineering best practices, strategies, and solutions.
  • Act as an architect guiding customers, the team, and the organization on tools, technologies, and best practices in data engineering.
  • Lead architecture discussions and align them with business needs, security, and best practices.
  • Demonstrate strong conceptual understanding of Data Warehousing, ETL, Data Governance, Security, Cloud Computing, and Batch & Real-Time Data Processing.
  • Apply strong execution knowledge of Data Modeling, SQL/NoSQL databases, SDLC practices, unit testing, and functional programming.
  • Understand and work with Medallion architecture patterns.
  • Work on at least one major cloud platform.
  • Execute multiple end-to-end data engineering projects as a data architect.
  • Possess extensive knowledge of various data architecture designs and data modeling concepts.
  • Manage conversations with client stakeholders, understand requirements, and translate them into technical outcomes.

Required Skills and Experience

  • Strong proficiency in SQL.
  • Experience working with any major cloud platform (AWS, Azure, or GCP).
  • Working knowledge of ETL/orchestration tools (IICS, Talend, Matillion, Airflow, ADF, AWS Glue, GCP Composer, etc.).
  • Working knowledge of OLTP databases (Postgres, MySQL, SQL Server, etc.).
  • Working knowledge of Data Warehouses such as Snowflake, Redshift, Azure Synapse, Hive, BigQuery, etc.
  • Proficiency in at least one data engineering programming language such as Python (or Scala/Rust/Java).
  • Strong execution knowledge of Data Modeling (star schema, snowflake schema, fact/dimension tables).
  • Proficient in Spark and related platforms (Databricks, GCP DataProc, AWS Glue, EMR, etc.).
  • Experience working with Kafka and real-time streaming.
  • Strong understanding of data architecture patterns (Lambda, Kappa, data harmonization, CDP patterns, etc.).
  • Experience in code and SQL optimization.
  • Strong knowledge of Git and CI/CD pipeline design for continuous delivery.
  • Experience with data and networking security (RBAC, secret management, key vaults, VNets/subnets, certificates).

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Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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