{"id":3299747,"url":"https://alion.io/job/epam-systems-lead-software-engineer-data","title":"Lead Software Engineer - Data","company":{"id":92,"name":"EPAM Systems","domain":"epam.com","url":"https://alion.io/company/epam-systems","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"HeadHunter","truth_index":{"grade":"D","score":45,"open_postings":58,"ghost_share":0.897,"stale_share":0,"repost_share":0.103,"time_to_fill_p50_days":44,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":54000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":74},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Cassandra","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"HBase","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-26T21:13:40Z","employer_posted_date":null,"last_verified_at":"2026-10-26T21:13:40Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"We're seeking a Lead Software Engineer – Data who will architect, develop, and fine-tune enterprise-scale data solutions and lead a team through the entire Big Data implementation process. The ideal candidate brings strong technical knowledge of distributed computing and contemporary data processing tools, combined with proven leadership skills to manage projects using Agile methodologies.\n\nResponsibilities\n\nDirect the design and rollout of Big Data solutions organization-wide\nBuild and fine-tune distributed data pipelines utilizing Apache Spark\nProduce efficient and scalable Python code to support data engineering efforts\nDevelop stream-processing systems using technologies like Apache Storm or Spark-Streaming\nConsolidate data originating from various sources, such as RDBMS, ERP systems, and file-based inputs\nUtilize ETL methodologies and frameworks to guarantee dependable data transformation and delivery\nOptimize Spark job performance to satisfy both business and technical needs\nLead the team's adoption of native cloud data services on Azure or AWS using Databricks\nOversee and coach a team of engineers to deliver top-quality data solutions effectively\nChampion Agile practices across the entire software development lifecycle\n\nRequirements\n\n8-14 years of hands-on experience with Big Data and associated technologies\nStrong command of distributed computing concepts and Apache Spark\nSkilled in Hadoop v2, MapReduce, HDFS, and Sqoop\nHands-on experience with messaging platforms like Kafka or RabbitMQ\nWorking knowledge of Big Data querying tools including Hive and Impala\nSolid grasp of SQL queries, joins, stored procedures, and relational schema design\nPractical experience with NoSQL databases like HBase, Cassandra, or MongoDB\nFamiliarity with ETL methodologies and frameworks\nHands-on background with native cloud data services on Azure or AWS via Databricks\nProven ability to lead teams effectively\nTrack record of designing and deploying Big Data solutions\nHands-on experience applying Agile 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